### 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)

if self.hook is None:
            self.log.info("Executing: %s", self.sql)
            self.hook = BigQueryHook(
                gcp_conn_id=self.gcp_conn_id,
                use_legacy_sql=self.use_legacy_sql,
                location=self.location,
                impersonation_chain=self.impersonation_chain,
            )
        if isinstance(self.sql, str):
            self.job_id = self.hook.run_query(
                sql=self.sql,
                destination_dataset_table=self.destination_dataset_table,
                write_disposition=self.write_disposition,
                allow_large_results=self.allow_large_results,
                flatten_results=self.flatten_results,
                udf_config=self.udf_config,
                maximum_billing_tier=self.maximum_billing_tier,
                maximum_bytes_billed=self.maximum_bytes_billed,
                create_disposition=self.create_disposition,
                query_params=self.query_params,
                labels=self.labels,
                schema_update_options=self.schema_update_options,
                priority=self.priority,
                time_partitioning=self.time_partitioning,
                api_resource_configs=self.api_resource_configs,
                cluster_fields=self.cluster_fields,
                encryption_configuration=self.encryption_configuration,
            )
        elif isinstance(self.sql, Iterable):