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:
Et si vous trouvez que les burgers valent la peine, traversez de l'autre coté de la rue chez five guys, au moins, vous en aurez pour votre argent !
Postion	Tokenization
1	Et
2	si
3	vous
4	trouvez
5	que
6	les
7	burgers
8	valent
9	la
10	peine
11	,
12	traversez
13	de
14	l'
15	autre
16	coté
17	de
18	la
19	rue
20	chez
21	five
22	guys
23	,
24	au
25	à
26	le
27	moins
28	,
29	vous
30	en
31	aurez
32	pour
33	votre
34	argent
35	!
Position	Tokenization	UPOS	Head	Deprel
1	Et	CCONJ	4	cc
2	si	SCONJ	4	mark
3	vous	PRON	4	nsubj
4	trouvez	VERB	12	advcl
5	que	SCONJ	8	mark
6	les	DET	7	det
7	burgers	NOUN	8	nsubj
8	valent	VERB	4	ccomp:obj
9	la	DET	10	det
10	peine	NOUN	8	obj
11	,	PUNCT	4	punct
12	traversez	VERB	0	root
13	de	ADP	16	case
14	l'	DET	16	det
15	autre	ADJ	16	amod
16	coté	NOUN	12	obl:arg
17	de	ADP	19	case
18	la	DET	19	det
19	rue	NOUN	16	nmod
20	chez	ADP	21	case
21	five	X	12	obl:mod
22	guys	X	21	flat:foreign
23	,	PUNCT	30	punct
24	au	_	None	_
25	à	ADP	30	advmod
26	le	DET	24	fixed
27	moins	ADV	24	fixed
28	,	PUNCT	24	punct
29	vous	PRON	30	nsubj
30	en	PRON	30	obj
31	aurez	VERB	12	advcl
32	pour	ADP	33	case
33	votre	DET	33	det
34	argent	NOUN	30	obl:mod
35	!	PUNCT	12	punct