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 première manche, il parvient à rester en course pour un podium en signant le sixième temps à 58 centièmes de seconde du leader Benjamin Raich.
Postion	Tokenization
1	En
2	première
3	manche
4	,
5	il
6	parvient
7	à
8	rester
9	en
10	course
11	pour
12	un
13	podium
14	en
15	signant
16	le
17	sixième
18	temps
19	à
20	58
21	centièmes
22	de
23	seconde
24	du
25	de
26	le
27	leader
28	Benjamin
29	Raich
30	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	première	ADJ	3	amod
3	manche	NOUN	6	obl:mod
4	,	PUNCT	3	punct
5	il	PRON	6	nsubj
6	parvient	VERB	0	root
7	à	ADP	8	mark
8	rester	VERB	6	xcomp:obl
9	en	ADP	10	case
10	course	NOUN	8	obl:mod
11	pour	ADP	13	case
12	un	DET	13	det
13	podium	NOUN	8	obl:mod
14	en	ADP	15	mark
15	signant	VERB	6	advcl
16	le	DET	18	det
17	sixième	ADJ	18	amod
18	temps	NOUN	15	obj
19	à	ADP	21	case
20	58	NUM	21	nummod
21	centièmes	NOUN	18	nmod
22	de	ADP	23	case
23	seconde	NOUN	21	nmod
24	du	_	None	_
25	de	ADP	26	case
26	le	DET	26	det
27	leader	NOUN	21	nmod
28	Benjamin	PROPN	26	appos
29	Raich	PROPN	27	flat:name
30	.	PUNCT	6	punct