### Apache Airflow version

Other Airflow 2 version (please specify below)

### What happened

Airflow version: 2.5.3
Description: While using BigQueryCreateExternalTableOperator, when we to create external table on top of parquet files located in GCS, airflow shows below error:
google.api_core.exceptions.BadRequest: 400 POST ... failed. CsvOptions can only be specified if storage format is CSV.

No csvOptions are mentioned while passing the source_format as Parquet. There seems to be an issue with bigquery.py hook.

### What you think should happen instead

_No response_

### How to reproduce

While using BigQueryCreateExternalTableOperator, try to create external table on top of parquet files located in GCS. Sample usage:
`create_external_table = BigQueryCreateExternalTableOperator(
    task_id="create_external_table",
    destination_project_dataset_table="table_name",
    bucket=GCS_BUCKET_NAME,
    source_objects=[<list of URIs of parquet files>],
    source_format="PARQUET",
    autodetect=True,
    gcp_conn_id="gcp_conn_id",
    google_cloud_storage_conn_id="test_conn_id",
)`

### Operating System

-

### Versions of Apache Airflow Providers

_No response_

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""Create a new external table with data from Google Cloud Storage.
    The schema to be used for the BigQuery table may be specified in one of
    two ways. You may either directly pass the schema fields in, or you may
    point the operator to a Google Cloud Storage object name. The object in
    Google Cloud Storage must be a JSON file with the schema fields in it.
    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:BigQueryCreateExternalTableOperator`
    :param bucket: The bucket to point the external table to. (templated)
    :param source_objects: List of Google Cloud Storage URIs to point
        table to. If source_format is 'DATASTORE_BACKUP', the list must only contain a single URI.
    :param destination_project_dataset_table: The dotted ``(<project>.)<dataset>.<table>``
        BigQuery table to load data into (templated). If ``<project>`` is not included,
        project will be the project defined in the connection json.
    :param schema_fields: If set, the schema field list as defined here:
        https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.load.schema
        **Example**::
            schema_fields=[{"name": "emp_name", "type": "STRING", "mode": "REQUIRED"},
                           {"name": "salary", "type": "INTEGER", "mode": "NULLABLE"}]
        Should not be set when source_format is 'DATASTORE_BACKUP'.
    :param table_resource: Table resource as described in documentation:
        https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#Table