text: Title: Discrepancy in column property with actual structure after grouping
  Body: **Describe the issue**:
  After `groupby` and `reset_index`, DataFrame `columns`  property have one column missing and one with an incorrect name, while computed DataFrame have proper structure.
  
  
  **Minimal Complete Verifiable Example**:
  ```python
  import pandas as pd
  import dask.dataframe as dd
  
  data = {
      'id': [1, 1, 1, 2, 2, 2],
      'date': pd.to_datetime(['2023-01-01', '2023-01-04', '2023-01-05', '2023-01-01', '2023-01-04', '2023-01-05']),
      'metric': [1,1,1,1,1,1]
  }
  pd_df = pd.DataFrame(data).astype({'id': 'int64', 'metric': 'int64', 'date': 'datetime64[ns]'})
  df = dd.from_pandas(pd_df)
  
  df = (
      df
      .groupby(by=['id'])
      .apply(lambda x: x, include_groups=False, meta={'date': 'datetime64[ns]', "metric": "int64", })
      .reset_index(drop=False)
      .persist()
  )
  print('Actual:')
  print(df.compute())
  print(df.columns)
  
  pd_df = (
      pd_df
      .groupby(by=['id'])
      .apply(lambda x: x, include_groups=False)
      .reset_index(drop=False)
  )
  print("\n\nExpected:")
  print(pd_df)
  print(pd_df.columns)
  ```
  ```
  Actual:
     id  level_1       date  metric
  0   1        0 2023-01-01       1
  1   1        1 2023-01-04       1
  2   1        2 2023-01-05       1
  3   2        3 2023-01-01       1
  4   2        4 2023-01-04       1
  5   2        5 2023-01-05       1
  Index(['index', 'date', 'metric'], dtype='object')      <----------  extra 'index' column and missing 'id' and 'level_1'
  
  
  Expected:
     id  level_1       date  metric
  0   1        0 2023-01-01       1
  1   1        1 2023-01-04       1
  2   1        2 2023-01-05       1
  3   2        3 2023-01-01       1
  4   2        4 2023-01-04       1
  5   2        5 2023-01-05       1
  Index(['id', 'level_1', 'date', 'metric'], dtype='object')
  ```
  
  
  **Environment**:
  
  - Dask version: 2024.8.0
  - Python version: 3.10
  - Operating System: WSL
  - Install method (conda, pip, source): poetry
  