In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: A good Fast food restaurant is The Phoenix with a high costumer rating and low prices starting at £20-25. Located in city centre.
Example Output: name[The Phoenix], food[Fast food], priceRange[£20-25], customer rating[high], area[city centre]

Example Input: The Wrestlers is a non kid friendly. moderately priced fast food restaurant with a customer rating of 3 out of 5.
Example Output: name[The Wrestlers], food[Fast food], priceRange[moderate], customer rating[3 out of 5], familyFriendly[no]

Example Input: There is an expensive coffee shop which serves fast food called The Golden Palace. It is on the riverside. The customers rate it as average.
Example Output:
name[The Golden Palace], eatType[coffee shop], food[Fast food], priceRange[high], customer rating[average], area[riverside]

