[FEA] category dtype support in parquet reader

**Is your feature request related to a problem? Please describe.**
writing code with `import cudf as pd`

**Describe the solution you'd like**
same behavior as `import pandas as pd`
```
In [1]: import cudf as pd

In [2]: pd.__version__
Out[2]: '22.12.01'

In [3]: df = pd.DataFrame({'a': ['one','two','three'] * 10})

In [4]: df.info()

RangeIndex: 30 entries, 0 to 29
Data columns (total 1 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 a 30 non-null object
dtypes: object(1)
memory usage: 234.0+ bytes

In [5]: df.a = df.astype('category')

In [6]: df.info()

RangeIndex: 30 entries, 0 to 29
Data columns (total 1 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 a 30 non-null category
dtypes: category(1)
memory usage: 57.0 bytes

In [7]: %ls df.parquet
ls: cannot access 'df.parquet': No such file or directory

In [8]: df.to_pandas().to_parquet('df.parquet')

In [9]: %ls df.parquet
df.parquet

In [10]: pd.read_parquet('df.parquet').info()

RangeIndex: 30 entries, 0 to 29
Data columns (total 1 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 a 30 non-null object
dtypes: object(1)
memory usage: 234.0+ bytes

In [11]: import pandas

In [12]: pandas.read_parquet('df.parquet').info()

RangeIndex: 30 entries, 0 to 29
Data columns (total 1 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 a 30 non-null category
dtypes: category(1)
memory usage: 290.0 bytes

In [13]: pd.DataFrame(pandas.read_parquet('df.parquet')).info()

RangeIndex: 30 entries, 0 to 29
Data columns (total 1 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 a 30 non-null category
dtypes: category(1)
memory usage: 57.0 bytes
```

the parquet reader turns the column into dtype=object
```
In [10]: pd.read_parquet('df.parquet').info()

RangeIndex: 30 entries, 0 to 29
Data columns (total 1 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 a 30 non-null object
dtypes: object(1)
memory usage: 234.0+ bytes
```