### 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)

"""Tests that an AirflowException is raised in case of error event"""
        operator = BigQueryValueCheckOperator(
            task_id="check_value",
            sql="SELECT COUNT(*) FROM Any",
            pass_value=2,
            use_legacy_sql=False,
            deferrable=True,
        )
        with pytest.raises(AirflowException):
            operator.execute_complete(
                context=None, event={"status": "error", "message": "test failure message"}
            )
class TestBigQueryColumnCheckOperator:
    @pytest.mark.parametrize(
        "check_type, check_value, check_result",
        [
            ("equal_to", 0, 0),
            ("greater_than", 0, 1),
            ("less_than", 0, -1),
            ("geq_to", 0, 1),
            ("geq_to", 0, 0),
            ("leq_to", 0, 0),
            ("leq_to", 0, -1),
        ],
    )
    @mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
    @mock.patch("airflow.providers.google.cloud.hooks.bigquery.BigQueryJob")
    def test_bigquery_column_check_operator_succeeds(