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:
À sa sortie de l'université, il fait un bref passage dans une entreprise de construction navale avant d'être engagé par le bureau de contrôle pour la sécurité des constructions SECO.
Postion	Tokenization
1	À
2	sa
3	sortie
4	de
5	l'
6	université
7	,
8	il
9	fait
10	un
11	bref
12	passage
13	dans
14	une
15	entreprise
16	de
17	construction
18	navale
19	avant
20	d'
21	être
22	engagé
23	par
24	le
25	bureau
26	de
27	contrôle
28	pour
29	la
30	sécurité
31	des
32	de
33	les
34	constructions
35	SECO
36	.
Position	Tokenization	UPOS	Head	Deprel
1	À	ADP	3	case
2	sa	DET	3	det
3	sortie	NOUN	9	obl:mod
4	de	ADP	6	case
5	l'	DET	6	det
6	université	NOUN	3	nmod
7	,	PUNCT	3	punct
8	il	PRON	9	nsubj
9	fait	VERB	0	root
10	un	DET	12	det
11	bref	ADJ	12	amod
12	passage	NOUN	9	obj
13	dans	ADP	15	case
14	une	DET	15	det
15	entreprise	NOUN	12	nmod
16	de	ADP	17	case
17	construction	NOUN	15	nmod
18	navale	ADJ	17	amod
19	avant	ADP	22	mark
20	d'	ADP	22	mark
21	être	AUX	22	aux:pass
22	engagé	VERB	9	advcl
23	par	ADP	25	case
24	le	DET	25	det
25	bureau	NOUN	22	obl:agent
26	de	ADP	27	case
27	contrôle	NOUN	25	nmod
28	pour	ADP	30	case
29	la	DET	30	det
30	sécurité	NOUN	27	nmod
31	des	_	None	_
32	de	ADP	33	case
33	les	DET	33	det
34	constructions	NOUN	30	nmod
35	SECO	PROPN	25	appos
36	.	PUNCT	9	punct