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: There is a family-friendly pub with cheap prices The Olive Grove located in city centre.
Example Output: name[The Olive Grove], eatType[pub], priceRange[less than £20], area[city centre], familyFriendly[yes]

Example Input: Zizzi is a coffee Shop have 3 out of 5 costumer rating, and £20-26 price range. It is located in city center.
Example Output: name[Zizzi], eatType[coffee shop], priceRange[£20-25], customer rating[3 out of 5], area[city centre], familyFriendly[no]

Example Input: The Wrestlers coffee shop is family-friendly French food in city centre near Raja Indian Cuisine with a price range less than £20.
Example Output:
name[The Wrestlers], eatType[coffee shop], food[French], priceRange[less than £20], area[city centre], familyFriendly[yes], near[Raja Indian Cuisine]