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:
Habrá que apostar un franco (suizo, no francés) por el líder del Mapei-Clas, puesto que las ocasiones del velocista de la ONCE se van agotando.
Postion	Tokenization
1	Habrá
2	que
3	apostar
4	un
5	franco
6	(
7	suizo
8	,
9	no
10	francés
11	)
12	por
13	el
14	líder
15	del
16	Mapei-Clas
17	,
18	puesto
19	que
20	las
21	ocasiones
22	del
23	velocista
24	de
25	la
26	ONCE
27	se
28	van
29	agotando
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Habrá	AUX	0	root
2	que	SCONJ	3	cc
3	apostar	VERB	1	conj
4	un	DET	5	det
5	franco	NOUN	3	obj
6	(	PUNCT	7	punct
7	suizo	ADJ	5	amod
8	,	PUNCT	7	punct
9	no	ADV	10	advmod
10	francés	ADJ	7	amod
11	)	PUNCT	7	punct
12	por	ADP	14	case
13	el	DET	14	det
14	líder	NOUN	3	obj
15	del	ADP	16	case
16	Mapei-Clas	PROPN	14	nmod
17	,	PUNCT	29	punct
18	puesto	NOUN	29	mark
19	que	SCONJ	18	fixed
20	las	DET	21	det
21	ocasiones	NOUN	29	nsubj
22	del	ADP	23	case
23	velocista	NOUN	21	nmod
24	de	ADP	26	case
25	la	DET	26	det
26	ONCE	PROPN	23	nmod
27	se	PRON	29	expl:pv
28	van	AUX	29	aux
29	agotando	VERB	3	advcl
30	.	PUNCT	1	punct