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:
Les objectifs de la FR sont donc fixés dans le sens d'un rapprochement mis en œuvre par 5 buts précis qu'un comité annuel au nombre variable tentera au mieux d'accomplir.
Postion	Tokenization
1	Les
2	objectifs
3	de
4	la
5	FR
6	sont
7	donc
8	fixés
9	dans
10	le
11	sens
12	d'
13	un
14	rapprochement
15	mis
16	en
17	œuvre
18	par
19	5
20	buts
21	précis
22	qu'
23	un
24	comité
25	annuel
26	au
27	à
28	le
29	nombre
30	variable
31	tentera
32	au
33	à
34	le
35	mieux
36	d'
37	accomplir
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	objectifs	NOUN	8	nsubj:pass
3	de	ADP	5	case
4	la	DET	5	det
5	FR	PROPN	2	nmod
6	sont	AUX	8	aux:pass
7	donc	ADV	8	advmod
8	fixés	VERB	0	root
9	dans	ADP	11	case
10	le	DET	11	det
11	sens	NOUN	8	obl:mod
12	d'	ADP	14	case
13	un	DET	14	det
14	rapprochement	NOUN	11	nmod
15	mis	VERB	14	acl
16	en	ADP	17	case
17	œuvre	NOUN	15	obl:mod
18	par	ADP	20	case
19	5	NUM	20	nummod
20	buts	NOUN	15	obl:arg
21	précis	ADJ	20	amod
22	qu'	PRON	35	obj
23	un	DET	24	det
24	comité	NOUN	30	nsubj
25	annuel	ADJ	24	amod
26	au	_	None	_
27	à	ADP	28	case
28	le	DET	28	det
29	nombre	NOUN	24	nmod
30	variable	ADJ	28	amod
31	tentera	VERB	20	acl:relcl
32	au	_	None	_
33	à	ADP	30	advmod
34	le	DET	31	fixed
35	mieux	NOUN	31	fixed
36	d'	ADP	35	mark
37	accomplir	VERB	30	xcomp:obj
38	.	PUNCT	8	punct