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:
Cette élection "n'est pas seulement la plus disputée depuis l'indépendance, elle est aussi la plus stimulante, avec les citoyens + Facebookant et Tweetant + avec passion, tout en participant en nombre record aux meetings traditionnels", écrit samedi le Straits Times, principal quotidien du pays, considéré comme favorable au PAP.
Postion	Tokenization
1	Cette
2	élection
3	"
4	n'
5	est
6	pas
7	seulement
8	la
9	plus
10	disputée
11	depuis
12	l'
13	indépendance
14	,
15	elle
16	est
17	aussi
18	la
19	plus
20	stimulante
21	,
22	avec
23	les
24	citoyens
25	+
26	Facebookant
27	et
28	Tweetant
29	+
30	avec
31	passion
32	,
33	tout
34	en
35	participant
36	en
37	nombre
38	record
39	aux
40	à
41	les
42	meetings
43	traditionnels
44	"
45	,
46	écrit
47	samedi
48	le
49	Straits
50	Times
51	,
52	principal
53	quotidien
54	du
55	de
56	le
57	pays
58	,
59	considéré
60	comme
61	favorable
62	au
63	à
64	le
65	PAP
66	.
Position	Tokenization	UPOS	Head	Deprel
1	Cette	DET	2	det
2	élection	NOUN	10	nsubj
3	"	PUNCT	10	punct
4	n'	ADV	10	advmod
5	est	AUX	10	cop
6	pas	ADV	10	advmod
7	seulement	ADV	10	advmod
8	la	DET	10	det
9	plus	ADV	10	advmod
10	disputée	ADJ	0	root
11	depuis	ADP	13	case
12	l'	DET	13	det
13	indépendance	NOUN	10	obl:mod
14	,	PUNCT	20	punct
15	elle	PRON	20	nsubj
16	est	AUX	20	cop
17	aussi	ADV	20	advmod
18	la	DET	20	det
19	plus	ADV	20	advmod
20	stimulante	ADJ	10	conj
21	,	PUNCT	24	punct
22	avec	ADP	24	case
23	les	DET	24	det
24	citoyens	NOUN	20	obl:mod
25	+	SYM	26	advmod
26	Facebookant	VERB	24	acl
27	et	CCONJ	28	cc
28	Tweetant	VERB	26	conj
29	+	SYM	31	advmod
30	avec	ADP	31	case
31	passion	NOUN	26	obl:mod
32	,	PUNCT	35	punct
33	tout	ADV	35	mark
34	en	ADP	33	fixed
35	participant	VERB	28	advcl
36	en	ADP	37	case
37	nombre	NOUN	35	obl:mod
38	record	NOUN	37	nmod
39	aux	_	None	_
40	à	ADP	41	case
41	les	DET	41	det
42	meetings	NOUN	35	obl:arg
43	traditionnels	ADJ	41	amod
44	"	PUNCT	10	punct
45	,	PUNCT	10	punct
46	écrit	VERB	10	parataxis
47	samedi	NOUN	45	obl:mod
48	le	DET	48	det
49	Straits	PROPN	45	nsubj
50	Times	PROPN	48	flat:name
51	,	PUNCT	52	punct
52	principal	ADJ	52	amod
53	quotidien	NOUN	48	appos
54	du	_	None	_
55	de	ADP	55	case
56	le	DET	55	det
57	pays	NOUN	52	nmod
58	,	PUNCT	57	punct
59	considéré	VERB	48	acl
60	comme	SCONJ	59	mark
61	favorable	ADJ	57	xcomp:pred
62	au	_	None	_
63	à	ADP	62	case
64	le	DET	62	det
65	PAP	PROPN	59	obl:arg
66	.	PUNCT	10	punct