### Apache Airflow version

2.7.1

### What happened

We currently use the DataflowHook in tasks of Airflow DAG. If we upgrade the version of apache-airflow-google-providers to 10.9.0, we got the following error although the dataflow job is completed.
```
Traceback (most recent call last):
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1384, in _run_raw_task
    self._execute_task_with_callbacks(context, test_mode)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1531, in _execute_task_with_callbacks
    result = self._execute_task(context, task_orig)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1586, in _execute_task
    result = execute_callable(context=context)
  File "xxx", line 65, in execute
    hook.wait_for_done(
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/providers/google/common/hooks/base_google.py", line 475, in inner_wrapper
    return func(self, *args, **kwargs)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/providers/google/cloud/hooks/dataflow.py", line 1203, in wait_for_done
    job_controller.wait_for_done()
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/providers/google/cloud/hooks/dataflow.py", line 439, in wait_for_done
    while self._jobs and not all(self._check_dataflow_job_state(job) for job in self._jobs):
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/providers/google/cloud/hooks/dataflow.py", line 439, in <genexpr>
    while self._jobs and not all(self._check_dataflow_job_state(job) for job in self._jobs):
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/providers/google/cloud/hooks/dataflow.py", line 430, in _check_dataflow_job_state
    raise Exception(
Exception: Google Cloud Dataflow job <xxx> is in an unexpected terminal state: JOB_STATE_DONE, expected terminal state: JOB_STATE_DONE
```

### What you think should happen instead

The error message "an unexpected terminal state: JOB_STATE_DONE, expected terminal state: JOB_STATE_DONE" is strange. If the dataflow job is completed, I think it should not be failed even if the `expected_terminal_state` is not set as DataflowHook parameter.

### How to reproduce

Install airflow from apache-airflow-google-providers/10.9.0. 
Pass wait_until_finished=True to DataflowHook and execute start_template_dataflow.


### Operating System

Ubuntu 20.04.6 LTS (Focal Fossa)

### Versions of Apache Airflow Providers

apache-airflow-google-providers===10.9.0

### Deployment

Google Cloud Composer

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] 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)

self,
        job_name: str,
        variables: dict,
        dataflow: str,
        py_options: list[str],
        project_id: str,
        py_interpreter: str = "python3",
        py_requirements: list[str] | None = None,
        py_system_site_packages: bool = False,
        append_job_name: bool = True,
        on_new_job_id_callback: Callable[[str], None] | None = None,
        location: str = DEFAULT_DATAFLOW_LOCATION,
    ):
        """
        Starts Dataflow job.
        :param job_name: The name of the job.
        :param variables: Variables passed to the job.
        :param dataflow: Name of the Dataflow process.
        :param py_options: Additional options.
        :param project_id: The ID of the GCP project that owns the job.
            If set to ``None`` or missing, the default project_id from the GCP connection is used.
        :param py_interpreter: Python version of the beam pipeline.
            If None, this defaults to the python3.
            To track python versions supported by beam and related
            issues check: https://issues.apache.org/jira/browse/BEAM-1251
        :param py_requirements: Additional python package(s) to install.
            If a value is passed to this parameter, a new virtual environment has been created with
            additional packages installed.