parquet conversion failed,Bool column has NA values in column boolean__v

I'm using the below code , while input data has boolean column with null and not null data however it's failing at the parquet conversion i'e "parquet conversion failed,Bool column has NA values in column boolean__v". kindly let me know what could be the issue

```
for chunk_number, chunk in enumerate(pd.read_csv(**read_csv_args), 1):
fields = []
for col,dtypes in sessionSchema.items():
fields.append(pa.field(col, dtypes, True)) # nullable=True, pass a DataFrame which in fact has nulls it appears the schema is ignored
glue_schema = pa.schema(fields)

table = pa.Table.from_pandas(chunk, preserve_index=False, schema=glue_schema)
if chunk_number == 1:
schema = table.schema
# Open a Parquet file for writing
pq_writer = pq.ParquetWriter(targetKey, schema, compression='snappy')
# Write CSV chunk to the parquet file
pq_writer.write_table(table)
```

Reproduce the reported failure with the pd.read_csv chunk loop, then trace pa.Table.from_pandas(..., schema=glue_schema) into pq.ParquetWriter.write_table. Done means a minimal reproduction and a confirmed explanation or fix for the nullable boolean conversion; the issue names no source file or test.

Written by the indexing model from the issue text.