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: Aromi is coffee shop that has Italian food and high customer rating. It is riverside and children friendly.
Example Output: name[Aromi], eatType[coffee shop], food[Italian], customer rating[high], area[riverside], familyFriendly[yes]

Example Input: Strada is a pub located near of Yippee Noodle Bar.
Example Output: name[Strada], eatType[pub], food[English], customer rating[1 out of 5], near[Yippee Noodle Bar]

Example Input: The Punter provides Indian food in the £20-25 price range.
Example Output:
name[The Punter], food[Indian], priceRange[£20-25]