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:
En Europe, le deca-BDE est largement utilisé dans le secteur du textile et des plastiques, entre autres pour les meubles rembourrés et les moyens de transport.
Postion	Tokenization
1	En
2	Europe
3	,
4	le
5	deca-BDE
6	est
7	largement
8	utilisé
9	dans
10	le
11	secteur
12	du
13	de
14	le
15	textile
16	et
17	des
18	de
19	les
20	plastiques
21	,
22	entre
23	autres
24	pour
25	les
26	meubles
27	rembourrés
28	et
29	les
30	moyens
31	de
32	transport
33	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Europe	PROPN	8	obl:mod
3	,	PUNCT	2	punct
4	le	DET	5	det
5	deca-BDE	X	8	nsubj:pass
6	est	AUX	8	aux:pass
7	largement	ADV	8	advmod
8	utilisé	VERB	0	root
9	dans	ADP	11	case
10	le	DET	11	det
11	secteur	NOUN	8	obl:mod
12	du	_	None	_
13	de	ADP	14	case
14	le	DET	14	det
15	textile	NOUN	11	nmod
16	et	CCONJ	18	cc
17	des	_	None	_
18	de	ADP	18	case
19	les	DET	18	det
20	plastiques	NOUN	14	conj
21	,	PUNCT	24	punct
22	entre	ADP	21	case
23	autres	PRON	24	nmod
24	pour	ADP	24	case
25	les	DET	24	det
26	meubles	NOUN	8	obl:mod
27	rembourrés	VERB	24	acl
28	et	CCONJ	28	cc
29	les	DET	28	det
30	moyens	NOUN	24	conj
31	de	ADP	30	case
32	transport	NOUN	28	nmod
33	.	PUNCT	8	punct