### 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)

"mode": "REQUIRED",
            "name": "salary",
            "type": "INTEGER"
            }
        ]
    **Example (with schema in the DAG)**::
        CreateTable = BigQueryCreateEmptyTableOperator(
            task_id='BigQueryCreateEmptyTableOperator_task',
            dataset_id='ODS',
            table_id='Employees',
            project_id='internal-gcp-project',
            schema_fields=[{"name": "emp_name", "type": "STRING", "mode": "REQUIRED"},
                            {"name": "salary", "type": "INTEGER", "mode": "NULLABLE"}],
            gcp_conn_id='airflow-conn-id-account',
            google_cloud_storage_conn_id='airflow-conn-id'
        )
    :param view: [Optional] A dictionary containing definition for the view.
        If set, it will create a view instead of a table:
        .. seealso::
            https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#ViewDefinition
    :param materialized_view: [Optional] The materialized view definition.
    :param encryption_configuration: [Optional] Custom encryption configuration (e.g., Cloud KMS keys).
        .. code-block:: python
            encryption_configuration = {
                "kmsKeyName": "projects/testp/locations/us/keyRings/test-kr/cryptoKeys/test-key",
            }
    :param location: The location used for the operation.
    :param cluster_fields: [Optional] The fields used for clustering.
            BigQuery supports clustering for both partitioned and
            non-partitioned tables.