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:
La gestion du savoir (GS) a pour objectif la valorisation du savoir au sein d'une entreprise ou d'une organisation pour de meilleures performances.
Postion	Tokenization
1	La
2	gestion
3	du
4	de
5	le
6	savoir
7	(
8	GS
9	)
10	a
11	pour
12	objectif
13	la
14	valorisation
15	du
16	de
17	le
18	savoir
19	au
20	à
21	le
22	sein
23	d'
24	une
25	entreprise
26	ou
27	d'
28	une
29	organisation
30	pour
31	de
32	meilleures
33	performances
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	gestion	NOUN	9	nsubj
3	du	_	None	_
4	de	ADP	5	case
5	le	DET	5	det
6	savoir	NOUN	2	nmod
7	(	PUNCT	7	punct
8	GS	X	2	appos
9	)	PUNCT	7	punct
10	a	VERB	0	root
11	pour	ADP	11	case
12	objectif	NOUN	9	obl:arg
13	la	DET	13	det
14	valorisation	NOUN	9	obj
15	du	_	None	_
16	de	ADP	16	case
17	le	DET	16	det
18	savoir	NOUN	13	nmod
19	au	_	None	_
20	à	ADP	19	case
21	le	DET	19	det
22	sein	NOUN	13	nmod
23	d'	ADP	22	case
24	une	DET	22	det
25	entreprise	NOUN	19	nmod
26	ou	CCONJ	26	cc
27	d'	ADP	26	case
28	une	DET	26	det
29	organisation	NOUN	22	conj
30	pour	ADP	30	case
31	de	DET	30	det
32	meilleures	ADJ	30	amod
33	performances	NOUN	13	nmod
34	.	PUNCT	9	punct