### 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)

):
        cluster = mock.MagicMock()
        cluster.status.state = 0
        cluster.status.State.DELETING = 0
        cluster2 = mock.MagicMock()
        cluster2.status.state = 0
        cluster2.status.State.ERROR = 0
        mock_create_cluster.side_effect = [AlreadyExists("test"), cluster2]
        mock_generator.return_value = [0]
        mock_get_cluster.side_effect = [cluster, NotFound("test")]
        op = DataprocCreateClusterOperator(
            task_id=TASK_ID,
            region=GCP_LOCATION,
            project_id=GCP_PROJECT,
            cluster_config=CONFIG,
            labels=LABELS,
            cluster_name=CLUSTER_NAME,
            delete_on_error=True,
            gcp_conn_id=GCP_CONN_ID,
        )
        with pytest.raises(AirflowException):
            op.execute(context=self.mock_context)
        calls = [mock.call(mock_hook.return_value), mock.call(mock_hook.return_value)]
        mock_get_cluster.assert_has_calls(calls)
        mock_create_cluster.assert_has_calls(calls)
        mock_hook.return_value.diagnose_cluster.assert_called_once_with(
            region=GCP_LOCATION, project_id=GCP_PROJECT, cluster_name=CLUSTER_NAME
        )
@pytest.mark.need_serialized_dag
def test_create_cluster_operator_extra_links(dag_maker, create_task_instance_of_operator):