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 société opère trois centres de données à Toronto et Vancouver, de même qu'un réseau de fibres optiques dans des secteurs d'affaires clés au centre-ville de Toronto.
Postion	Tokenization
1	La
2	société
3	opère
4	trois
5	centres
6	de
7	données
8	à
9	Toronto
10	et
11	Vancouver
12	,
13	de
14	même
15	qu'
16	un
17	réseau
18	de
19	fibres
20	optiques
21	dans
22	des
23	secteurs
24	d'
25	affaires
26	clés
27	au
28	à
29	le
30	centre-ville
31	de
32	Toronto
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	société	NOUN	3	nsubj
3	opère	VERB	0	root
4	trois	NUM	5	nummod
5	centres	NOUN	3	obj
6	de	ADP	7	case
7	données	NOUN	5	nmod
8	à	ADP	9	case
9	Toronto	PROPN	5	nmod
10	et	CCONJ	11	cc
11	Vancouver	PROPN	9	conj
12	,	PUNCT	13	punct
13	de	ADP	3	advmod
14	même	ADV	13	fixed
15	qu'	SCONJ	17	case
16	un	NUM	17	nummod
17	réseau	NOUN	13	obj
18	de	ADP	19	case
19	fibres	NOUN	17	nmod
20	optiques	ADJ	19	amod
21	dans	ADP	23	case
22	des	DET	23	det
23	secteurs	NOUN	17	nmod
24	d'	ADP	25	case
25	affaires	NOUN	23	nmod
26	clés	NOUN	23	nmod
27	au	_	None	_
28	à	ADP	29	case
29	le	DET	29	det
30	centre-ville	NOUN	23	nmod
31	de	ADP	31	case
32	Toronto	PROPN	29	nmod
33	.	PUNCT	3	punct