### 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)

from tests.test_utils.db import clear_db_dags, clear_db_runs, clear_db_serialized_dags, clear_db_xcom
TASK_ID = "test-bq-generic-operator"
TEST_DATASET = "test-dataset"
TEST_DATASET_LOCATION = "EU"
TEST_GCP_PROJECT_ID = "test-project"
TEST_JOB_PROJECT_ID = "test-job-project"
TEST_DELETE_CONTENTS = True
TEST_TABLE_ID = "test-table-id"
TEST_GCS_BUCKET = "test-bucket"
TEST_GCS_DATA = ["dir1/*.csv"]
TEST_SOURCE_FORMAT = "CSV"
DEFAULT_DATE = datetime(2015, 1, 1)
TEST_DAG_ID = "test-bigquery-operators"
TEST_TABLE_RESOURCES = {"tableReference": {"tableId": TEST_TABLE_ID}, "expirationTime": 1234567}
VIEW_DEFINITION = {
    "query": f"SELECT * FROM `{TEST_DATASET}.{TEST_TABLE_ID}`",
    "useLegacySql": False,
}
MATERIALIZED_VIEW_DEFINITION = {
    "query": f"SELECT product, SUM(amount) FROM `{TEST_DATASET}.{TEST_TABLE_ID}` GROUP BY product",
    "enableRefresh": True,
    "refreshIntervalMs": 2000000,
}
TEST_TABLE = "test-table"
GCP_CONN_ID = "google_cloud_default"
TEST_JOB_ID_1 = "test-job-id"
TEST_JOB_ID_2 = "test-123"
TEST_FULL_JOB_ID = f"{TEST_GCP_PROJECT_ID}:{TEST_DATASET_LOCATION}:{TEST_JOB_ID_1}"
TEST_FULL_JOB_ID_2 = f"{TEST_GCP_PROJECT_ID}:{TEST_DATASET_LOCATION}:{TEST_JOB_ID_2}"
class TestBigQueryCreateEmptyTableOperator: