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:
Sa présence internationale et multiculturelle (environ 700 collaborateurs répartis en Europe et en Inde) permet de servir ses clients et d'assurer la proximité de ses services.
Postion	Tokenization
1	Sa
2	présence
3	internationale
4	et
5	multiculturelle
6	(
7	environ
8	700
9	collaborateurs
10	répartis
11	en
12	Europe
13	et
14	en
15	Inde
16	)
17	permet
18	de
19	servir
20	ses
21	clients
22	et
23	d'
24	assurer
25	la
26	proximité
27	de
28	ses
29	services
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Sa	DET	2	det
2	présence	NOUN	17	nsubj
3	internationale	ADJ	2	amod
4	et	CCONJ	5	cc
5	multiculturelle	ADJ	3	conj
6	(	PUNCT	9	punct
7	environ	ADV	8	advmod
8	700	NUM	9	nummod
9	collaborateurs	NOUN	2	appos
10	répartis	VERB	9	acl
11	en	ADP	12	case
12	Europe	PROPN	10	obl:mod
13	et	CCONJ	15	cc
14	en	ADP	15	case
15	Inde	PROPN	12	conj
16	)	PUNCT	9	punct
17	permet	VERB	0	root
18	de	ADP	19	mark
19	servir	VERB	17	xcomp:obj
20	ses	DET	21	det
21	clients	NOUN	19	obj
22	et	CCONJ	24	cc
23	d'	ADP	24	mark
24	assurer	VERB	19	conj
25	la	DET	26	det
26	proximité	NOUN	24	obj
27	de	ADP	29	case
28	ses	DET	29	det
29	services	NOUN	26	nmod
30	.	PUNCT	17	punct