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 experts s'inquiètent beaucoup des conséquences dramatiques du rejet par plus de 60% des électeurs islandais de l'accord Icesave.
Postion	Tokenization
1	Les
2	experts
3	s'
4	inquiètent
5	beaucoup
6	des
7	de
8	les
9	conséquences
10	dramatiques
11	du
12	de
13	le
14	rejet
15	par
16	plus
17	de
18	60
19	%
20	des
21	de
22	les
23	électeurs
24	islandais
25	de
26	l'
27	accord
28	Icesave
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	experts	NOUN	4	nsubj
3	s'	PRON	4	dep:comp
4	inquiètent	VERB	0	root
5	beaucoup	ADV	4	advmod
6	des	_	None	_
7	de	ADP	8	case
8	les	DET	8	det
9	conséquences	NOUN	4	obl:arg
10	dramatiques	ADJ	8	amod
11	du	_	None	_
12	de	ADP	12	case
13	le	DET	12	det
14	rejet	NOUN	8	nmod
15	par	ADP	14	case
16	plus	ADV	12	nmod
17	de	ADP	17	case
18	60	NUM	17	nummod
19	%	SYM	14	dep:comp
20	des	_	None	_
21	de	ADP	20	case
22	les	DET	20	det
23	électeurs	NOUN	17	nmod
24	islandais	ADJ	20	amod
25	de	ADP	24	case
26	l'	DET	24	det
27	accord	NOUN	12	nmod
28	Icesave	PROPN	24	appos
29	.	PUNCT	4	punct