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:
L'excédent brut d'exploitation atteint 47,4 millions d'euros, en rebond de 6,7%, et le résultat opérationnel courant affiche une hausse de 3,8%, à 29,8 millions d'euros.
Postion	Tokenization
1	L'
2	excédent
3	brut
4	d'
5	exploitation
6	atteint
7	47,4
8	millions
9	d'
10	euros
11	,
12	en
13	rebond
14	de
15	6,7
16	%
17	,
18	et
19	le
20	résultat
21	opérationnel
22	courant
23	affiche
24	une
25	hausse
26	de
27	3,8
28	%
29	,
30	à
31	29,8
32	millions
33	d'
34	euros
35	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	excédent	NOUN	6	nsubj
3	brut	ADJ	2	amod
4	d'	ADP	5	case
5	exploitation	NOUN	2	nmod
6	atteint	VERB	0	root
7	47,4	NUM	8	nummod
8	millions	NOUN	6	obj
9	d'	ADP	10	case
10	euros	NOUN	8	nmod
11	,	PUNCT	13	punct
12	en	ADP	13	case
13	rebond	NOUN	8	nmod
14	de	ADP	16	case
15	6,7	NUM	16	nummod
16	%	SYM	13	nmod
17	,	PUNCT	23	punct
18	et	CCONJ	23	cc
19	le	DET	20	det
20	résultat	NOUN	23	nsubj
21	opérationnel	ADJ	20	amod
22	courant	ADJ	20	amod
23	affiche	VERB	6	conj
24	une	DET	25	det
25	hausse	NOUN	23	obj
26	de	ADP	28	case
27	3,8	NUM	28	nummod
28	%	SYM	25	nmod
29	,	PUNCT	32	punct
30	à	ADP	32	case
31	29,8	NUM	32	nummod
32	millions	NOUN	25	nmod
33	d'	ADP	34	case
34	euros	NOUN	32	nmod
35	.	PUNCT	6	punct