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:
Il faut bien admettre que le cas du Sahara occidental et de la Palestine ont été au centre des préoccupations de la grande majorité des participants.
Postion	Tokenization
1	Il
2	faut
3	bien
4	admettre
5	que
6	le
7	cas
8	du
9	de
10	le
11	Sahara
12	occidental
13	et
14	de
15	la
16	Palestine
17	ont
18	été
19	au
20	à
21	le
22	centre
23	des
24	de
25	les
26	préoccupations
27	de
28	la
29	grande
30	majorité
31	des
32	de
33	les
34	participants
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	expl:subj
2	faut	VERB	0	root
3	bien	ADV	4	advmod
4	admettre	VERB	2	ccomp:obj
5	que	SCONJ	17	mark
6	le	DET	7	det
7	cas	NOUN	17	nsubj
8	du	_	None	_
9	de	ADP	10	case
10	le	DET	10	det
11	Sahara	PROPN	7	nmod
12	occidental	ADJ	10	amod
13	et	CCONJ	15	cc
14	de	ADP	15	case
15	la	DET	15	det
16	Palestine	PROPN	10	conj
17	ont	AUX	17	aux:tense
18	été	VERB	4	ccomp:obj
19	au	_	None	_
20	à	ADP	20	case
21	le	DET	20	det
22	centre	NOUN	17	obl:arg
23	des	_	None	_
24	de	ADP	23	case
25	les	DET	23	det
26	préoccupations	NOUN	20	nmod
27	de	ADP	27	case
28	la	DET	27	det
29	grande	ADJ	27	amod
30	majorité	NOUN	23	nmod
31	des	_	None	_
32	de	ADP	30	case
33	les	DET	30	det
34	participants	NOUN	27	nmod
35	.	PUNCT	2	punct