### 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)

"""Waiting for the jobs to reach a certain state."""
        if not self._jobs:
            raise ValueError("The _jobs should be set")
        while True:
            self._refresh_jobs()
            job_states = {job["currentState"] for job in self._jobs}
            if not job_states.difference(expected_states):
                return
            unexpected_failed_end_states = DataflowJobStatus.FAILED_END_STATES - expected_states
            if unexpected_failed_end_states.intersection(job_states):
                unexpected_failed_jobs = [
                    job for job in self._jobs if job["currentState"] in unexpected_failed_end_states
                ]
                raise AirflowException(
                    "Jobs failed: "
                    + ", ".join(
                        f"ID: {job['id']} name: {job['name']} state: {job['currentState']}"
                        for job in unexpected_failed_jobs
                    )
                )
            time.sleep(self._poll_sleep)
    def cancel(self) -> None:
        """Cancels or drains current job."""
        self._jobs = [
            job for job in self.get_jobs() if job["currentState"] not in DataflowJobStatus.TERMINAL_STATES
        ]
        job_ids = [job["id"] for job in self._jobs]
        if job_ids:
            self.log.info("Canceling jobs: %s", ", ".join(job_ids))