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:
Finalement, Sylvain avait remporté un concours télévisé pour construire une cuisinette, mais sa mère aimant trop sa cuisine, Sylvain l'a offert à l'entreprise.
Postion	Tokenization
1	Finalement
2	,
3	Sylvain
4	avait
5	remporté
6	un
7	concours
8	télévisé
9	pour
10	construire
11	une
12	cuisinette
13	,
14	mais
15	sa
16	mère
17	aimant
18	trop
19	sa
20	cuisine
21	,
22	Sylvain
23	l'
24	a
25	offert
26	à
27	l'
28	entreprise
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Finalement	ADV	5	advmod
2	,	PUNCT	1	punct
3	Sylvain	PROPN	5	nsubj
4	avait	AUX	5	aux:tense
5	remporté	VERB	0	root
6	un	DET	7	det
7	concours	NOUN	5	obj
8	télévisé	ADJ	7	amod
9	pour	ADP	10	mark
10	construire	VERB	5	advcl
11	une	DET	12	det
12	cuisinette	NOUN	10	obj
13	,	PUNCT	25	punct
14	mais	CCONJ	25	cc
15	sa	DET	16	det
16	mère	NOUN	17	nsubj
17	aimant	VERB	25	advcl
18	trop	ADV	17	advmod
19	sa	DET	20	det
20	cuisine	NOUN	17	obj
21	,	PUNCT	17	punct
22	Sylvain	PROPN	25	nsubj
23	l'	PRON	25	obj
24	a	AUX	25	aux:tense
25	offert	VERB	5	conj
26	à	ADP	28	case
27	l'	DET	28	det
28	entreprise	NOUN	25	obl:arg
29	.	PUNCT	5	punct