### Body

There are some use cases where users want to trigger new DAG run as soon as one finished. This is a request I've seen several times with some variations (for example like this [Stackoverflow question](https://stackoverflow.com/q/75623153/14624409)) but the basic request is the same.

The workaround users do to get such functionality is place `TriggerDagRunOperator` as last task of their DAG invoking the same DAG:

```
from datetime import datetime

from airflow import DAG
from airflow.operators.empty import EmptyOperator
from airflow.operators.trigger_dagrun import TriggerDagRunOperator

with DAG(
    dag_id="example",
    start_date=datetime(2023, 1, 1,),
    catchup=False,
    schedule=None,
) as dag:
    task = EmptyOperator(task_id="first")
    trigger = TriggerDagRunOperator(
        task_id="trigger",
        trigger_dag_id="example",
    )

    task >> trigger

```

As you can see this works nicely:
![Screenshot 2023-03-03 at 14 20 51](https://user-images.githubusercontent.com/45845474/222718862-dfde8a41-24b6-4991-b318-b7f9784514f6.png)

My suggestion is to add first class support for this use case, so the above example will be changed to:

```

from datetime import datetime

from airflow import DAG
from airflow.operators.empty import EmptyOperator
from airflow.operators.trigger_dagrun import TriggerDagRunOperator

with DAG(
    dag_id="example",
    start_date=datetime(2023, 1, 1,),
    catchup=False,
    schedule="@continues",
) as dag:
    task = EmptyOperator(task_id="first")
```

I guess it won't exactly be `"@continues"` but more likely new [ScheduleArg](https://github.com/apache/airflow/blob/8b8552f5c4111fe0732067d7af06aa5285498a79/airflow/models/dag.py#L127) type but I show it like that just for simplification of the idea.

### Committer

- [X] I acknowledge that I am a maintainer/committer of the Apache Airflow project.
"""
        Make sure DST transitions are properly observed
        """
        local_tz = pendulum.timezone("Europe/Zurich")
        start = local_tz.convert(datetime.datetime(2018, 10, 28, 2, 55), dst_rule=pendulum.PRE_TRANSITION)
        assert start.isoformat() == "2018-10-28T02:55:00+02:00", "Pre-condition: start date is in DST"
        utc = timezone.convert_to_utc(start)
        assert utc.isoformat() == "2018-10-28T00:55:00+00:00", "Pre-condition: correct DST->UTC conversion"
        dag = DAG("tz_dag", start_date=start, schedule="*/5 * * * *")
        _next = dag.following_schedule(utc)
        next_local = local_tz.convert(_next)
        assert _next.isoformat() == "2018-10-28T01:00:00+00:00"
        assert next_local.isoformat() == "2018-10-28T02:00:00+01:00"
        prev = dag.previous_schedule(utc)
        prev_local = local_tz.convert(prev)
        assert prev_local.isoformat() == "2018-10-28T02:50:00+02:00"
        prev = dag.previous_schedule(_next)
        prev_local = local_tz.convert(prev)
        assert prev_local.isoformat() == "2018-10-28T02:55:00+02:00"
        assert prev == utc
    def test_following_previous_schedule_daily_dag_cest_to_cet(self):