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:
Pantani y Escartín tratarán de perder menos de cinco segundos por kilómetro, lo que dejaría a dos de los mejores escaladores de este Tour a 1.20 minutos de los contrarrelojistas.
Postion	Tokenization
1	Pantani
2	y
3	Escartín
4	tratarán
5	de
6	perder
7	menos
8	de
9	cinco
10	segundos
11	por
12	kilómetro
13	,
14	lo
15	que
16	dejaría
17	a
18	dos
19	de
20	los
21	mejores
22	escaladores
23	de
24	este
25	Tour
26	a
27	1.20
28	minutos
29	de
30	los
31	contrarrelojistas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Pantani	PROPN	4	nsubj
2	y	CCONJ	3	cc
3	Escartín	PROPN	1	conj
4	tratarán	VERB	0	root
5	de	ADP	6	mark
6	perder	VERB	4	xcomp
7	menos	ADV	9	advmod
8	de	ADP	9	case
9	cinco	NUM	10	nummod
10	segundos	NOUN	6	obj
11	por	ADP	12	case
12	kilómetro	NOUN	10	nmod
13	,	PUNCT	16	punct
14	lo	PRON	16	det
15	que	PRON	16	nsubj
16	dejaría	VERB	6	advcl
17	a	ADP	18	case
18	dos	NUM	16	obj
19	de	ADP	22	case
20	los	DET	22	det
21	mejores	ADJ	22	amod
22	escaladores	NOUN	18	nmod
23	de	ADP	25	case
24	este	DET	25	det
25	Tour	PROPN	22	nmod
26	a	ADP	28	case
27	1.20	NUM	28	nummod
28	minutos	NOUN	16	obj
29	de	ADP	31	case
30	los	DET	31	det
31	contrarrelojistas	NOUN	28	nmod
32	.	PUNCT	4	punct