### Description

Add a process_line callback to KubernetesPodOperator 
Like https://github.com/apache/airflow/blob/main/airflow/providers/apache/beam/operators/beam.py#LL304C36-L304C57 the `BeamRunPythonPipelineOperator`, which allows the user to add stateful plugins based on the logging from docker job 

### Use case/motivation

I can add a plugin based on the logging and also allow cleanup on_kill based on the job creation log. 

### Related issues

_No response_

### Are you willing to submit a PR?

- [ ] 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)

env_vars = [
            k8s.V1EnvVar(name="ENV1", value="val1"),
            k8s.V1EnvVar(name="ENV2", value="val2"),
            k8s.V1EnvVar(
                name="ENV3",
                value_from=k8s.V1EnvVarSource(field_ref=k8s.V1ObjectFieldSelector(field_path="status.podIP")),
            ),
        ]
        k = KubernetesPodOperator(
            namespace="default",
            image="ubuntu:16.04",
            cmds=["bash", "-cx"],
            arguments=["echo 10"],
            env_vars=env_vars,
            labels=self.labels,
            task_id=str(uuid4()),
            in_cluster=False,
            do_xcom_push=False,
        )
        
        context = create_context(k)
        actual_pod = self.api_client.sanitize_for_serialization(k.build_pod_request_obj(context))
        self.expected_pod["spec"]["containers"][0]["env"] = [
            {"name": "ENV1", "value": "val1"},
            {"name": "ENV2", "value": "val2"},
            {"name": "ENV3", "valueFrom": {"fieldRef": {"fieldPath": "status.podIP"}}},
        ]
        assert self.expected_pod == actual_pod
    def test_pod_template_file_system(self, mock_get_connection):