Imagine you're designing a system where multiple tasks need to be executed concurrently with varying levels of urgency. How would you design a data structure to manage these tasks efficiently?

A Priority Queue is the most efficient data structure for managing tasks with varying levels of urgency in a concurrent execution system. It ensures that tasks are executed based on their priority levels, allowing higher priority tasks to be processed before lower priority ones. This is crucial for maintaining system responsiveness and meeting urgent task requirements promptly. Binary Search Trees, Hash Tables, and Doubly Linked Lists are not specifically designed for priority-based task management and may not offer the same level of efficiency and responsiveness as a Priority Queue.