As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
It is a bustling place where separate parties are seated at the same table (as in many European cafes), but if you are OK with that, the food is very good.
Postion	Tokenization
1	It
2	is
3	a
4	bustling
5	place
6	where
7	separate
8	parties
9	are
10	seated
11	at
12	the
13	same
14	table
15	(
16	as
17	in
18	many
19	European
20	cafes
21	)
22	,
23	but
24	if
25	you
26	are
27	OK
28	with
29	that
30	,
31	the
32	food
33	is
34	very
35	good
36	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	5	nsubj
2	is	AUX	5	cop
3	a	DET	5	det
4	bustling	ADJ	5	amod
5	place	NOUN	0	root
6	where	SCONJ	10	mark
7	separate	ADJ	8	amod
8	parties	NOUN	10	nsubj:pass
9	are	AUX	10	aux:pass
10	seated	VERB	5	acl:relcl
11	at	ADP	14	case
12	the	DET	14	det
13	same	ADJ	14	amod
14	table	NOUN	10	obl
15	(	PUNCT	20	punct
16	as	ADP	20	case
17	in	ADP	20	case
18	many	ADJ	20	amod
19	European	ADJ	20	amod
20	cafes	NOUN	10	obl
21	)	PUNCT	20	punct
22	,	PUNCT	35	punct
23	but	CCONJ	35	cc
24	if	SCONJ	27	mark
25	you	PRON	27	nsubj
26	are	AUX	27	cop
27	OK	ADJ	35	advcl
28	with	ADP	29	case
29	that	PRON	27	obl
30	,	PUNCT	35	punct
31	the	DET	32	det
32	food	NOUN	35	nsubj
33	is	AUX	35	cop
34	very	ADV	35	advmod
35	good	ADJ	5	conj
36	.	PUNCT	5	punct