### Apache Airflow version

main (development)

### What happened

For DataprocInstantiateInlineWorkflowTemplateOperator and DataprocInstantiateWorkflowTemplateOperator, the dataproc link is available only for the jobs that have succeeded. Incase of Failure, the DataprocLink is not available

### What you think should happen instead

Like other dataproc operators, this should be available for workflow operators as well

### How to reproduce

_No response_

### Operating System

MacOS Monterey

### Versions of Apache Airflow Providers

apache-airflow-providers-google==6.5.0

### Deployment

Astronomer

### 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)

def test_deprecation_warning(self):
        with pytest.warns(DeprecationWarning) as warnings:
            DataprocScaleClusterOperator(task_id=TASK_ID, cluster_name=CLUSTER_NAME, project_id=GCP_PROJECT)
        assert_warning("DataprocUpdateClusterOperator", warnings)
    @mock.patch(DATAPROC_PATH.format("DataprocHook"))
    def test_execute(self, mock_hook):
        self.extra_links_manager_mock.attach_mock(mock_hook, "hook")
        mock_hook.return_value.update_cluster.result.return_value = None
        cluster_update = {
            "config": {"worker_config": {"num_instances": 3}, "secondary_worker_config": {"num_instances": 4}}
        }
        update_cluster_args = {
            "project_id": GCP_PROJECT,
            "region": GCP_LOCATION,
            "cluster_name": CLUSTER_NAME,
            "cluster": cluster_update,
            "graceful_decommission_timeout": {"seconds": 600},