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 Eagle is a French coffee shop located near Burger King in riverside. At a customer rating of 5 out of 5 and its cheap this makes a great family friendly place.
Example Output: name[The Eagle], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Burger King]

Example Input: The Vaults is a pub near Café Adriatic. It has a high customer rating and a price range of £20-25.
Example Output: name[The Vaults], eatType[pub], priceRange[£20-25], customer rating[high], near[Café Adriatic]

Example Input: The Golden Palace is a coffee shop which also serves Indian food for less than £20.  It has a low customer rating and is located near the riverside.
Example Output:
name[The Golden Palace], eatType[coffee shop], food[Indian], priceRange[less than £20], customer rating[low], area[riverside]