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: The Waterman is a high priced, child friendly place located in riverside.  It serves French food and has a rating of 3 out of 5.
Example Output: name[The Waterman], food[French], priceRange[high], customer rating[3 out of 5], area[riverside], familyFriendly[yes]

Example Input: The Cricketers is a children friendly coffee shop which serves Italian food, and has a high customer rating, located near The Portland Arms.
Example Output: name[The Cricketers], eatType[coffee shop], food[Italian], customer rating[high], familyFriendly[yes], near[The Portland Arms]

Example Input: The Rice Boat is Located a mile from the city centre near the river edge is our three star family friendly establishment offering a good choice of food and drink for all the family young and old.
Example Output:
name[The Rice Boat], food[French], customer rating[average], area[riverside], familyFriendly[yes]