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:
El primer escollo será el Tenerife, que hoy visita el Bernabéu (17.00 horas) con un nuevo técnico, Carlos Aimar, y con el objetivo de amargarle la vida a los blancos.
Postion	Tokenization
1	El
2	primer
3	escollo
4	será
5	el
6	Tenerife
7	,
8	que
9	hoy
10	visita
11	el
12	Bernabéu
13	(
14	17.00
15	horas
16	)
17	con
18	un
19	nuevo
20	técnico
21	,
22	Carlos
23	Aimar
24	,
25	y
26	con
27	el
28	objetivo
29	de
30	amargarle
31	amargar
32	le
33	la
34	vida
35	a
36	los
37	blancos
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	primer	ADJ	3	amod
3	escollo	NOUN	6	nsubj
4	será	AUX	6	cop
5	el	DET	6	det
6	Tenerife	PROPN	0	root
7	,	PUNCT	10	punct
8	que	PRON	10	nsubj
9	hoy	ADV	10	advmod
10	visita	VERB	6	acl
11	el	DET	12	det
12	Bernabéu	PROPN	10	obj
13	(	PUNCT	14	punct
14	17.00	NUM	10	obl
15	horas	NOUN	14	compound
16	)	PUNCT	14	punct
17	con	ADP	20	case
18	un	DET	20	det
19	nuevo	ADJ	20	amod
20	técnico	NOUN	10	obl
21	,	PUNCT	22	punct
22	Carlos	PROPN	20	appos
23	Aimar	PROPN	22	flat
24	,	PUNCT	22	punct
25	y	CCONJ	28	cc
26	con	ADP	28	case
27	el	DET	28	det
28	objetivo	NOUN	20	conj
29	de	ADP	30	mark
30	amargarle	_	None	_
31	amargar	VERB	28	acl
32	le	PRON	30	obj
33	la	DET	33	det
34	vida	NOUN	30	obj
35	a	ADP	36	case
36	los	DET	36	det
37	blancos	NOUN	30	obj
38	.	PUNCT	6	punct