**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
DataprocSubmitPySparkJobOperator,
    DataprocSubmitSparkJobOperator,
    DataprocSubmitSparkSqlJobOperator,
    DataprocUpdateClusterOperator,
)
from airflow.providers.google.cloud.triggers.dataproc import (
    DataprocBatchTrigger,
    DataprocClusterTrigger,
    DataprocDeleteClusterTrigger,
    DataprocSubmitTrigger,
    DataprocWorkflowTrigger,
)
from airflow.providers.google.common.consts import GOOGLE_DEFAULT_DEFERRABLE_METHOD_NAME
from airflow.serialization.serialized_objects import SerializedDAG
from airflow.utils.timezone import datetime
from airflow.version import version as airflow_version
from tests.test_utils.db import clear_db_runs, clear_db_xcom
cluster_params = inspect.signature(ClusterGenerator.__init__).parameters
AIRFLOW_VERSION = "v" + airflow_version.replace(".", "-").replace("+", "-")
DATAPROC_PATH = "airflow.providers.google.cloud.operators.dataproc.{}"
DATAPROC_TRIGGERS_PATH = "airflow.providers.google.cloud.triggers.dataproc.{}"
TASK_ID = "task-id"
GCP_PROJECT = "test-project"
GCP_REGION = "test-location"
GCP_CONN_ID = "test-conn"
IMPERSONATION_CHAIN = ["ACCOUNT_1", "ACCOUNT_2", "ACCOUNT_3"]
TEMPLATE_ID = "template_id"
CLUSTER_NAME = "cluster_name"
CONFIG = {
    "gce_cluster_config": {