**Description**

This operator should cancel running workflow template `on_kill`. This option probably should be configurable because of request_id prameter in a job definition: https://googleapis.dev/python/dataproc/latest/gapic/v1/api.html#google.cloud.dataproc_v1.WorkflowTemplateServiceClient.instantiate_inline_workflow_template
https://googleapis.dev/python/dataproc/latest/gapic/v1/api.html#google.cloud.dataproc_v1.WorkflowTemplateServiceClient.instantiate_workflow_template

Note this will have to cancle the Google Long Running Operation for the workflow template (which will in turn cancel all children jobs and clean up relevant cluster).

**Use case / motivation**

Remove dangling workflow templates

**Related Issues**
#10381
#6371
time_left = self.timeout
        for time_to_sleep in exponential_sleep_generator(initial=10, maximum=120):
            if time_left < 0:
                raise AirflowException(f"Cluster {self.cluster_name} is still DELETING state, aborting")
            time.sleep(time_to_sleep)
            time_left -= time_to_sleep
            try:
                self._get_cluster(hook)
            except NotFound:
                break
    def _wait_for_cluster_in_creating_state(self, hook: DataprocHook) -> Cluster:
        time_left = self.timeout
        cluster = self._get_cluster(hook)
        for time_to_sleep in exponential_sleep_generator(initial=10, maximum=120):
            if cluster.status.state != cluster.status.State.CREATING:
                break
            if time_left < 0:
                raise AirflowException(f"Cluster {self.cluster_name} is still CREATING state, aborting")
            time.sleep(time_to_sleep)
            time_left -= time_to_sleep
            cluster = self._get_cluster(hook)
        return cluster
    def execute(self, context: Context) -> dict: