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:
Bref, c'est devenu un de nos endroits favoris pour nous amuser entre amis sans trop se ruiner (les prix sont vraiment raisonnable), on y retournera c'est sur :-)
Postion	Tokenization
1	Bref
2	,
3	c'
4	est
5	devenu
6	un
7	de
8	nos
9	endroits
10	favoris
11	pour
12	nous
13	amuser
14	entre
15	amis
16	sans
17	trop
18	se
19	ruiner
20	(
21	les
22	prix
23	sont
24	vraiment
25	raisonnable
26	)
27	,
28	on
29	y
30	retournera
31	c'
32	est
33	sur
34	:-)
Position	Tokenization	UPOS	Head	Deprel
1	Bref	INTJ	5	discourse
2	,	PUNCT	1	punct
3	c'	PRON	5	nsubj
4	est	AUX	5	aux:tense
5	devenu	VERB	0	root
6	un	PRON	5	xcomp:pred
7	de	ADP	9	case
8	nos	DET	9	det
9	endroits	NOUN	6	nmod
10	favoris	ADJ	9	amod
11	pour	ADP	13	mark
12	nous	PRON	13	obj
13	amuser	VERB	9	acl
14	entre	ADP	15	case
15	amis	NOUN	13	obl:mod
16	sans	ADP	19	mark
17	trop	ADV	19	advmod
18	se	PRON	19	obj
19	ruiner	VERB	13	advcl
20	(	PUNCT	25	punct
21	les	DET	22	det
22	prix	NOUN	25	nsubj
23	sont	AUX	25	cop
24	vraiment	ADV	25	advmod
25	raisonnable	ADJ	19	parataxis
26	)	PUNCT	25	punct
27	,	PUNCT	30	punct
28	on	PRON	30	nsubj
29	y	PRON	30	obl:arg
30	retournera	VERB	5	parataxis
31	c'	PRON	33	nsubj
32	est	AUX	33	cop
33	sur	ADJ	30	parataxis
34	:-)	SYM	5	discourse