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:
Or, de nouveaux outils informatiques, dont collaboratifs et de type SIG permettent de mieux l'organiser et la valoriser dans la sphère du Web (c'est le cas du Web sémantique et de Wikipédia par exemple).
Postion	Tokenization
1	Or
2	,
3	de
4	nouveaux
5	outils
6	informatiques
7	,
8	dont
9	collaboratifs
10	et
11	de
12	type
13	SIG
14	permettent
15	de
16	mieux
17	l'
18	organiser
19	et
20	la
21	valoriser
22	dans
23	la
24	sphère
25	du
26	de
27	le
28	Web
29	(
30	c'
31	est
32	le
33	cas
34	du
35	de
36	le
37	Web
38	sémantique
39	et
40	de
41	Wikipédia
42	par
43	exemple
44	)
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Or	CCONJ	14	cc
2	,	PUNCT	1	punct
3	de	DET	5	det
4	nouveaux	ADJ	5	amod
5	outils	NOUN	14	nsubj
6	informatiques	ADJ	5	amod
7	,	PUNCT	9	punct
8	dont	PRON	9	obl:mod
9	collaboratifs	ADJ	5	acl:relcl
10	et	CCONJ	12	cc
11	de	ADP	12	case
12	type	NOUN	9	conj
13	SIG	NOUN	12	appos
14	permettent	VERB	0	root
15	de	ADP	18	mark
16	mieux	ADV	18	advmod
17	l'	PRON	18	obj
18	organiser	VERB	14	xcomp:obj
19	et	CCONJ	21	cc
20	la	PRON	21	obj
21	valoriser	VERB	18	conj
22	dans	ADP	24	case
23	la	DET	24	det
24	sphère	NOUN	18	obl:mod
25	du	_	None	_
26	de	ADP	27	case
27	le	DET	27	det
28	Web	PROPN	24	nmod
29	(	PUNCT	32	punct
30	c'	PRON	32	nsubj
31	est	AUX	32	cop
32	le	DET	32	det
33	cas	NOUN	14	parataxis
34	du	_	None	_
35	de	ADP	35	case
36	le	DET	35	det
37	Web	PROPN	32	nmod
38	sémantique	ADJ	35	amod
39	et	CCONJ	39	cc
40	de	ADP	39	case
41	Wikipédia	PROPN	35	conj
42	par	ADP	32	advmod
43	exemple	NOUN	40	fixed
44	)	PUNCT	32	punct
45	.	PUNCT	14	punct