code: def build(self) -> Dict[str, Union[str, DAG]]:
          
          dag_params: Dict[str, Any] = self.get_dag_params()
          dag: DAG = DAG(
              dag_id=dag_params["dag_id"],
              schedule_interval=dag_params["schedule_interval"],
              description=dag_params.get("description", ""),
              max_active_runs=dag_params.get(
                  "max_active_runs",
                  configuration.conf.getint("core", "max_active_runs_per_dag"),
              ),
              default_args=dag_params.get("default_args", {}),
          )
          tasks: Dict[str, Dict[str, Any]] = dag_params["tasks"]
  
          # create dictionary to track tasks and set dependencies
          tasks_dict: Dict[str, BaseOperator] = {}
          for task_name, task_conf in tasks.items():
              task_conf["task_id"]: str = task_name
              operator: str = task_conf["operator"]
              task_conf["dag"]: DAG = dag
              params: Dict[str, Any] = {k: v for k, v in task_conf.items() if k not in SYSTEM_PARAMS}
              task: BaseOperator = DagBuilder.make_task(operator=operator, task_params=params)
              tasks_dict[task.task_id]: BaseOperator = task
  
          # set task dependencies after creating tasks
          for task_name, task_conf in tasks.items():
              if task_conf.get("dependencies"):
                  source_task: BaseOperator = tasks_dict[task_name]
                  for dep in task_conf["dependencies"]:
                      dep_task: BaseOperator = tasks_dict[dep]
                      source_task.set_upstream(dep_task)
  
          return {"dag_id": dag_params["dag_id"], "dag": dag}
docs: Generates a DAG from the DAG parameters.
  
          :returns: dict with dag_id and DAG object
          :type: Dict[str, Union[str, DAG]]