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 ainsi dégagé sera immédiatement réutilisé pour financer une partie du coût d'acquisition du dossier Creuzet Aéronautique en cours de négociation.
Postion	Tokenization
1	L'
2	excédent
3	ainsi
4	dégagé
5	sera
6	immédiatement
7	réutilisé
8	pour
9	financer
10	une
11	partie
12	du
13	de
14	le
15	coût
16	d'
17	acquisition
18	du
19	de
20	le
21	dossier
22	Creuzet
23	Aéronautique
24	en
25	cours
26	de
27	négociation
28	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	excédent	NOUN	7	nsubj:pass
3	ainsi	ADV	4	advmod
4	dégagé	VERB	2	acl
5	sera	AUX	7	aux:pass
6	immédiatement	ADV	7	advmod
7	réutilisé	VERB	0	root
8	pour	ADP	9	mark
9	financer	VERB	7	advcl
10	une	DET	11	det
11	partie	NOUN	9	obj
12	du	_	None	_
13	de	ADP	14	case
14	le	DET	14	det
15	coût	NOUN	11	nmod
16	d'	ADP	16	case
17	acquisition	NOUN	14	nmod
18	du	_	None	_
19	de	ADP	19	case
20	le	DET	19	det
21	dossier	NOUN	16	nmod
22	Creuzet	PROPN	19	appos
23	Aéronautique	PROPN	20	flat:name
24	en	ADP	23	case
25	cours	NOUN	16	nmod
26	de	ADP	25	case
27	négociation	NOUN	23	nmod
28	.	PUNCT	7	punct