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: Cotto is a coffee shop that offers delicious Indian food, although the price range is high, you will be pleased to know Cotto has high customer ratings. It is located in Riverside near The Portland Arms.
Example Output: name[Cotto], eatType[coffee shop], food[Indian], priceRange[more than £30], customer rating[high], area[riverside], near[The Portland Arms]

Example Input: Taste of Cambridge is a family friendly coffee shop on the riverside near the Crowne Plaza Hotel offering Indian food.
Example Output: name[Taste of Cambridge], eatType[coffee shop], food[Indian], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]

Example Input: Strada Japanese food is located near Rainbow Vegetarian Café. They have low ratings, they are family friendly, and their prices range less than 20.
Example Output:
name[Strada], food[Japanese], priceRange[less than £20], customer rating[low], familyFriendly[yes], near[Rainbow Vegetarian Café]