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: Alimentum is a kid friendly French eatery in the city centre. It is in the moderate price range
Example Output: name[Alimentum], food[French], priceRange[moderate], area[city centre], familyFriendly[yes]

Example Input: The Golden Curry is a three star pasta restaurant, and is family friendly.
Example Output: name[The Golden Curry], food[Italian], customer rating[average], familyFriendly[yes]

Example Input: The Eagle has a high customer rating and is  kid friendly Italian coffee shop near Burger King located in the Riverside area.
Example Output:
name[The Eagle], eatType[coffee shop], food[Italian], priceRange[£20-25], customer rating[high], area[riverside], familyFriendly[yes], near[Burger King]