### What do you see as an issue?

The documentation for zombie tasks https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/tasks.html#zombie-undead-tasks is a bit abstract at the moment. There is a scope for enhancing the document by explaining how Airflow detects tasks as zombies

### Solving the problem

We can enhance the documentation by translating this query https://github.com/astronomer/airflow/blob/main/airflow/jobs/scheduler_job_runner.py#L1721 to a layman readable text in our documentation.

### Anything else

It might also help to add developer contribution steps to reproduce zombies locally.

### Are you willing to submit 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)

try:
                    dag.create_dagrun(
                        run_type=DagRunType.SCHEDULED,
                        execution_date=dag_model.next_dagrun,
                        state=DagRunState.QUEUED,
                        data_interval=data_interval,
                        external_trigger=False,
                        session=session,
                        dag_hash=dag_hash,
                        creating_job_id=self.job.id,
                    )
                    active_runs_of_dags[dag.dag_id] += 1
                
                
                
                
                except Exception:
                    self.log.exception("Failed creating DagRun for %s", dag.dag_id)
                    continue
            if self._should_update_dag_next_dagruns(
                dag,
                dag_model,
                last_dag_run=None,
                total_active_runs=active_runs_of_dags[dag.dag_id],
                session=session,
            ):
                dag_model.calculate_dagrun_date_fields(dag, data_interval)
        
        
    def _create_dag_runs_dataset_triggered(