### 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)

"""Executes BigQuery SQL queries in a specific BigQuery database.
    This operator is deprecated. Please use
    :class:`airflow.providers.google.cloud.operators.bigquery.BigQueryInsertJobOperator`
    instead.
    This operator does not assert idempotency.
    :param sql: the SQL code to be executed as a single string, or
        a list of str (sql statements), or a reference to a template file.
        Template references are recognized by str ending in '.sql'
    :param destination_dataset_table: A dotted
        ``(<project>.|<project>:)<dataset>.<table>`` that, if set, will store the results
        of the query. (templated)
    :param write_disposition: Specifies the action that occurs if the destination table
        already exists. (default: 'WRITE_EMPTY')
    :param create_disposition: Specifies whether the job is allowed to create new tables.
        (default: 'CREATE_IF_NEEDED')
    :param allow_large_results: Whether to allow large results.
    :param flatten_results: If true and query uses legacy SQL dialect, flattens
        all nested and repeated fields in the query results. ``allow_large_results``
        must be ``true`` if this is set to ``false``. For standard SQL queries, this
        flag is ignored and results are never flattened.
    :param gcp_conn_id: (Optional) The connection ID used to connect to Google Cloud.
    :param udf_config: The User Defined Function configuration for the query.
        See https://cloud.google.com/bigquery/user-defined-functions for details.
    :param use_legacy_sql: Whether to use legacy SQL (true) or standard SQL (false).