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:
« Nous devons encore beaucoup enquêter sur les motivations du suspect, mais nous savons qu'il y a des preuves considérables qu'il visait spécifiquement la représentante », avait expliqué à MSNBC Clarence Dupnik, sheriff du Comté de Pima.
Postion	Tokenization
1	«
2	Nous
3	devons
4	encore
5	beaucoup
6	enquêter
7	sur
8	les
9	motivations
10	du
11	de
12	le
13	suspect
14	,
15	mais
16	nous
17	savons
18	qu'
19	il
20	y
21	a
22	des
23	preuves
24	considérables
25	qu'
26	il
27	visait
28	spécifiquement
29	la
30	représentante
31	»
32	,
33	avait
34	expliqué
35	à
36	MSNBC
37	Clarence
38	Dupnik
39	,
40	sheriff
41	du
42	de
43	le
44	Comté
45	de
46	Pima
47	.
Position	Tokenization	UPOS	Head	Deprel
1	«	PUNCT	3	punct
2	Nous	PRON	3	nsubj
3	devons	VERB	0	root
4	encore	ADV	3	advmod
5	beaucoup	ADV	6	advmod
6	enquêter	VERB	3	xcomp:obj
7	sur	ADP	9	case
8	les	DET	9	det
9	motivations	NOUN	6	obl:mod
10	du	_	None	_
11	de	ADP	12	case
12	le	DET	12	det
13	suspect	NOUN	9	nmod
14	,	PUNCT	16	punct
15	mais	CCONJ	16	cc
16	nous	PRON	16	nsubj
17	savons	VERB	3	conj
18	qu'	SCONJ	20	mark
19	il	PRON	20	expl:subj
20	y	PRON	20	dep:comp
21	a	VERB	16	ccomp:obj
22	des	DET	22	det
23	preuves	NOUN	20	obj
24	considérables	ADJ	22	amod
25	qu'	SCONJ	26	mark
26	il	PRON	26	nsubj
27	visait	VERB	22	acl
28	spécifiquement	ADV	26	advmod
29	la	DET	29	det
30	représentante	NOUN	26	obj
31	»	PUNCT	3	punct
32	,	PUNCT	33	punct
33	avait	AUX	33	aux:tense
34	expliqué	VERB	3	parataxis
35	à	ADP	35	case
36	MSNBC	PROPN	33	obl:arg
37	Clarence	PROPN	33	nsubj
38	Dupnik	PROPN	36	flat:name
39	,	PUNCT	39	punct
40	sheriff	NOUN	36	appos
41	du	_	None	_
42	de	ADP	42	case
43	le	DET	42	det
44	Comté	NOUN	39	nmod
45	de	ADP	44	case
46	Pima	PROPN	42	nmod
47	.	PUNCT	3	punct