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:
Le français est utilisé au travail par 50,8% des travailleurs et l'anglais par 41,7% alors que 2,3% des travailleurs utilisent les deux langues officielles.
Postion	Tokenization
1	Le
2	français
3	est
4	utilisé
5	au
6	à
7	le
8	travail
9	par
10	50,8
11	%
12	des
13	de
14	les
15	travailleurs
16	et
17	l'
18	anglais
19	par
20	41,7
21	%
22	alors
23	que
24	2,3
25	%
26	des
27	de
28	les
29	travailleurs
30	utilisent
31	les
32	deux
33	langues
34	officielles
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	français	NOUN	4	nsubj:pass
3	est	AUX	4	aux:pass
4	utilisé	VERB	0	root
5	au	_	None	_
6	à	ADP	7	case
7	le	DET	7	det
8	travail	NOUN	4	obl:mod
9	par	ADP	10	case
10	50,8	NUM	10	nummod
11	%	SYM	4	obl:agent
12	des	_	None	_
13	de	ADP	13	case
14	les	DET	13	det
15	travailleurs	NOUN	10	nmod
16	et	CCONJ	16	cc
17	l'	DET	16	det
18	anglais	NOUN	4	conj
19	par	ADP	19	case
20	41,7	NUM	19	nummod
21	%	SYM	16	orphan
22	alors	ADV	27	mark
23	que	SCONJ	20	fixed
24	2,3	NUM	23	nummod
25	%	SYM	27	nsubj
26	des	_	None	_
27	de	ADP	26	case
28	les	DET	26	det
29	travailleurs	NOUN	23	nmod
30	utilisent	VERB	4	advcl
31	les	DET	30	det
32	deux	NUM	30	nummod
33	langues	NOUN	27	obj
34	officielles	ADJ	30	amod
35	.	PUNCT	4	punct