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: A coffee shop that is kid friendly near Raja Indian Cuisine named The Wrestlers in the riverside area has a price range of more than £30 that serves Italian food.
Example Output: name[The Wrestlers], eatType[coffee shop], food[Italian], priceRange[more than £30], area[riverside], familyFriendly[yes], near[Raja Indian Cuisine]

Example Input: Alimentum serves French food near Yippee Noodle Bar by the riverside with a high customer rating and a price range of £20-25.
Example Output: name[Alimentum], food[French], priceRange[£20-25], customer rating[high], area[riverside], near[Yippee Noodle Bar]

Example Input: Alimentum, an expensive Japanese restaurant along the riverside, welcomes children.
Example Output:
name[Alimentum], food[Japanese], priceRange[high], area[riverside], familyFriendly[yes]