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 coffee shop named The Eagle has cheap Indian food and an average customer rating. It is near the Burger King on the riverside and is not family friendly.
Example Output: name[The Eagle], eatType[coffee shop], food[Indian], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[no], near[Burger King]

Example Input: There is a pub near Café Brazil named The Cambridge Blue that serves reasonably priced Japanese food.
Example Output: name[The Cambridge Blue], eatType[pub], food[Japanese], priceRange[less than £20], near[Café Brazil]

Example Input: The Golden Curry is a restaurant located near The Bakers. It is a kid friendly restaurant that offers a variety of quality native foods. They offer low priced foods for great quality.
Example Output:
name[The Golden Curry], food[English], priceRange[£20-25], familyFriendly[yes], near[The Bakers]

