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:
Chaque Eyze en possède en effet un (voir 2), dont la plupart des lames sont de couleurs bleues (le sabre-laser d'Armanda est bleu), mais peuvent parfois être vertes.
Postion	Tokenization
1	Chaque
2	Eyze
3	en
4	possède
5	en
6	effet
7	un
8	(
9	voir
10	2
11	)
12	,
13	dont
14	la
15	plupart
16	des
17	de
18	les
19	lames
20	sont
21	de
22	couleurs
23	bleues
24	(
25	le
26	sabre-laser
27	d'
28	Armanda
29	est
30	bleu
31	)
32	,
33	mais
34	peuvent
35	parfois
36	être
37	vertes
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Chaque	DET	2	det
2	Eyze	PROPN	4	nsubj
3	en	PRON	7	nmod
4	possède	VERB	0	root
5	en	ADP	4	advmod
6	effet	NOUN	5	fixed
7	un	PRON	4	obj
8	(	PUNCT	10	punct
9	voir	ADV	10	cc
10	2	NUM	7	conj
11	)	PUNCT	10	punct
12	,	PUNCT	10	punct
13	dont	PRON	18	nmod
14	la	DET	15	det
15	plupart	NOUN	21	nsubj
16	des	_	None	_
17	de	ADP	18	case
18	les	DET	18	det
19	lames	NOUN	15	nmod
20	sont	AUX	21	cop
21	de	ADP	21	case
22	couleurs	NOUN	7	acl:relcl
23	bleues	ADJ	21	amod
24	(	PUNCT	29	punct
25	le	DET	25	det
26	sabre-laser	NOUN	29	nsubj
27	d'	ADP	27	case
28	Armanda	PROPN	25	nmod
29	est	AUX	29	cop
30	bleu	ADJ	21	parataxis
31	)	PUNCT	29	punct
32	,	PUNCT	29	punct
33	mais	CCONJ	33	cc
34	peuvent	VERB	21	conj
35	parfois	ADV	33	advmod
36	être	AUX	36	cop
37	vertes	ADJ	33	xcomp:obj
38	.	PUNCT	4	punct