BUG: read_parquet empty DataFrame with MultiIndex column fails with "AttributeError: 'dict' object has no attribute 'dtype'"
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

---

#### Code Sample, a copy-pastable example

```python
import pandas as pd
data = pd.DataFrame(columns=pd.MultiIndex(levels=[['abc'], []], codes=[[], []]))
data.to_parquet('test.parquet')
pd.read_parquet('test.parquet')
```
raises following Error
```
Traceback (most recent call last):
  File "C:\Python38\lib\site-packages\IPython\core\interactiveshell.py", line 3427, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-3-de80afa86dfa>", line 5, in <module>
    pd.read_parquet(fpath)
  File "C:\Python38\lib\site-packages\pandas\io\parquet.py", line 459, in read_parquet
    return impl.read(
  File "C:\Python38\lib\site-packages\pandas\io\parquet.py", line 221, in read
    return self.api.parquet.read_table(
  File "pyarrow\array.pxi", line 751, in pyarrow.lib._PandasConvertible.to_pandas
  File "pyarrow\table.pxi", line 1668, in pyarrow.lib.Table._to_pandas
  File "C:\Python38\lib\site-packages\pyarrow\pandas_compat.py", line 791, in table_to_blockmanager
    columns = _deserialize_column_index(table, all_columns, column_indexes)
  File "C:\Python38\lib\site-packages\pyarrow\pandas_compat.py", line 903, in _deserialize_column_index
    columns = _reconstruct_columns_from_metadata(columns, column_indexes)
  File "C:\Python38\lib\site-packages\pyarrow\pandas_compat.py", line 1097, in _reconstruct_columns_from_metadata
    levels_dtypes = [
  File "C:\Python38\lib\site-packages\pyarrow\pandas_compat.py", line 1098, in <listcomp>
    (level, col_index.get('pandas_type', str(level.dtype)),
AttributeError: 'dict' object has no attribute 'dtype'
```

#### Problem description

The dataframe could be written to parquet, but raises an error when reading it back.

#### Expected Output
The same DataFrame as written to parquet, not an error.

#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit           : f2c8480af2f25efdbd803218b9d87980f416563e
python           : 3.8.5.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
Version          : 10.0.18362
machine          : AMD64
processor        : Intel64 Family 6 Model 78 Stepping 3, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : English_United Kingdom.1252
pandas           : 1.2.3
numpy            : 1.20.1
pytz             : 2021.1
dateutil         : 2.8.1
pip              : 21.0.1
setuptools       : 47.1.0
Cython           : None
pytest           : 6.2.1
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : 1.3.7
lxml.etree       : 4.6.2
html5lib         : None
pymysql          : None
psycopg2         : 2.8.6 (dt dec pq3 ext lo64)
jinja2           : 2.11.3
IPython          : 7.20.0
pandas_datareader: None
bs4              : 4.9.3
bottleneck       : 1.3.2
fsspec           : 0.8.3
fastparquet      : None
gcsfs            : None
matplotlib       : 3.3.4
numexpr          : 2.7.2
odfpy            : None
openpyxl         : 3.0.6
pandas_gbq       : None
pyarrow          : 3.0.0
pyxlsb           : None
s3fs             : 0.5.1
scipy            : 1.6.1
sqlalchemy       : 1.3.23
tables           : 3.6.1
tabulate         : None
xarray           : 0.16.2
xlrd             : 1.2.0
xlwt             : None
numba            : None

</details>
