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:
Envoyez le mot "DARGAUD" suivi de vos coordonnées au 6 20 30 (0.35 cts d'euro + coût du SMS) et répondez au quiz.
Postion	Tokenization
1	Envoyez
2	le
3	mot
4	"
5	DARGAUD
6	"
7	suivi
8	de
9	vos
10	coordonnées
11	au
12	à
13	le
14	6 20 30
15	(
16	0.35
17	cts
18	d'
19	euro
20	+
21	coût
22	du
23	de
24	le
25	SMS
26	)
27	et
28	répondez
29	au
30	à
31	le
32	quiz
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Envoyez	VERB	0	root
2	le	DET	3	det
3	mot	NOUN	1	obj
4	"	PUNCT	5	punct
5	DARGAUD	PROPN	3	appos
6	"	PUNCT	5	punct
7	suivi	VERB	3	acl
8	de	ADP	10	case
9	vos	DET	10	det
10	coordonnées	NOUN	7	obl:arg
11	au	_	None	_
12	à	ADP	13	case
13	le	DET	13	det
14	6 20 30	NUM	1	obl:arg
15	(	PUNCT	16	punct
16	0.35	NUM	16	nummod
17	cts	NOUN	1	parataxis
18	d'	ADP	18	case
19	euro	NOUN	16	nmod
20	+	SYM	20	cc
21	coût	NOUN	18	conj
22	du	_	None	_
23	de	ADP	23	case
24	le	DET	23	det
25	SMS	NOUN	20	nmod
26	)	PUNCT	16	punct
27	et	CCONJ	26	cc
28	répondez	VERB	1	conj
29	au	_	None	_
30	à	ADP	29	case
31	le	DET	29	det
32	quiz	NOUN	26	obl:arg
33	.	PUNCT	1	punct