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:
La candidate Modem se plaçait en seconde position, obtenant 12,6% des voix mais ne rééditant pas le score de F. Bayrou, une partie des voix UDF étant parties vers le député sortant.
Postion	Tokenization
1	La
2	candidate
3	Modem
4	se
5	plaçait
6	en
7	seconde
8	position
9	,
10	obtenant
11	12,6
12	%
13	des
14	de
15	les
16	voix
17	mais
18	ne
19	rééditant
20	pas
21	le
22	score
23	de
24	F.
25	Bayrou
26	,
27	une
28	partie
29	des
30	de
31	les
32	voix
33	UDF
34	étant
35	parties
36	vers
37	le
38	député
39	sortant
40	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	candidate	NOUN	5	nsubj:pass
3	Modem	PROPN	2	appos
4	se	PRON	5	expl:pass
5	plaçait	VERB	0	root
6	en	ADP	8	case
7	seconde	ADJ	8	amod
8	position	NOUN	5	obl:mod
9	,	PUNCT	10	punct
10	obtenant	VERB	5	advcl
11	12,6	NUM	12	nummod
12	%	SYM	10	obj
13	des	_	None	_
14	de	ADP	15	case
15	les	DET	15	det
16	voix	NOUN	12	nmod
17	mais	CCONJ	18	cc
18	ne	ADV	18	advmod
19	rééditant	VERB	10	conj
20	pas	ADV	18	advmod
21	le	DET	21	det
22	score	NOUN	18	obj
23	de	ADP	23	case
24	F.	PROPN	21	nmod
25	Bayrou	PROPN	23	flat:name
26	,	PUNCT	33	punct
27	une	DET	27	det
28	partie	NOUN	33	nsubj
29	des	_	None	_
30	de	ADP	30	case
31	les	DET	30	det
32	voix	NOUN	27	nmod
33	UDF	PROPN	30	appos
34	étant	AUX	33	aux:tense
35	parties	VERB	18	advcl
36	vers	ADP	36	case
37	le	DET	36	det
38	député	NOUN	33	obl:mod
39	sortant	ADJ	36	amod
40	.	PUNCT	5	punct