Many countries in the Pacific have managed all of these. The U.S., India and Brazil are three countries with the most cases and account for nearly half of the world count. Certainly, Australia and New Zealand have been great examples. The country  of more than 1.4 billion people  still has fewer than 100,000 confirmed cases, according to Johns Hopkins data. Spain now has more than 20,000 confirmed cases per day, and continues to record some of the highest numbers of new cases per million people on the continent.
Many countries in the top prailics have manage all of these. The U.S., India and Brazil are three countries with the most cases and account for intriguingly wet dogs. 1  of 120 billion people  waits until march 16.
( z0 multi-sentence :snt ( z1 manage :ARG0 ( z2 country :quant ( z3 many ) :location ( z4 praise :mod ( z5 top ) ) ) :ARG1 ( z6 this :mod ( z7 all ) ) ) :snt ( z8 country :quant 3 :ARG0-of ( z9 have :ARG1 ( z10 case :ARG1-of ( z11 have-quant :ARG3 ( z12 most ) ) ) ) :domain ( z13 and :ARG0-of ( z14 account :ARG1 ( z15 dog :ARG0-of ( z16 intrigue ) :ARG1-of ( z17 wet ) ) ) :op ( z18 country :name ( z19 name :op "U.S." ) ) :op ( z20 country :name ( z21 name :op "India" ) ) :op ( z22 country :name ( z23 name :op "Brazil" ) ) ) ) :snt ( z24 wait :ARG1 ( z25 person :ARG1-of ( z26 include :ARG2 ( z27 person :quant 120000 ) ) ) :time ( z28 until :op ( z29 date-entity :day 16 :month 3 ) ) ) )
(z0 / multi-sentence
    :snt1 (z1 / manage-01
              :ARG0 (z2 / country
                        :quant (z3 / many)
                        :location (z4 / praise-01
                                      :mod (z5 / top)))
              :ARG1 (z6 / this
                        :mod (z7 / all)))
    :snt2 (z8 / country
              :quant 3
              :ARG0-of (z9 / have-03
                           :ARG1 (z10 / case-04
                                      :ARG1-of (z11 / have-quant-91
                                                    :ARG3 (z12 / most))))
              :domain (z13 / and
                           :ARG0-of (z14 / account-01
                                         :ARG1 (z15 / dog
                                                    :ARG0-of (z16 / intrigue-01)
                                                    :ARG1-of (z17 / wet-01)))
                           :op1 (z18 / country
                                     :name (z19 / name
                                                :op1 "U.S."))
                           :op2 (z20 / country
                                     :name (z21 / name
                                                :op1 "India"))
                           :op3 (z22 / country
                                     :name (z23 / name
                                                :op1 "Brazil"))))
    :snt3 (z24 / wait-01
               :ARG1 (z25 / person
                          :ARG1-of (z26 / include-91
                                        :ARG2 (z27 / person
                                                   :quant 120000)))
               :time (z28 / until
                          :op1 (z29 / date-entity
                                    :day 16
                                    :month 3))))
Many countries in the top prailics have manage all of these . The U.S. , India and Brazil are three countries with the most cases and account for intriguingly wet dogs . 1 of 120 billion people waits until march 16 .
z2 :quant z3
z4 :mod z5
z2 :location z4
z1 :ARG0 z2
z6 :mod z7
z1 :ARG1 z6
z0 :snt1 z1
z18 :name z19
z19 :op1 6
z20 :name z21
z21 :op1 5
z13 :op2 z20
z13 :op1 z18
z13 :op3 z22
z22 :name z23
z23 :op1 4
z8 :quant 2
z8 :domain z13
z0 :snt2 z8
z8 :ARG0-of z9
z11 :ARG3 z12
z10 :ARG1-of z11
z9 :ARG1 z10
z13 :ARG0-of z14
z15 :ARG1-of z17
z15 :ARG0-of z16
z14 :ARG1 z15
z25 :ARG1-of z26
z27 :quant 0
z26 :ARG2 z27
z24 :ARG1 z25
z0 :snt3 z24
z24 :time z28
z29 :month 3
z28 :op1 z29
z29 :day 1