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 técnico volvió a apostar por un sistema 4-4-2 en el que la primera duda parece ya despejada, por lo que todo apunta a que Javier López Vallejo será el portero titular.
Postion	Tokenization
1	El
2	técnico
3	volvió
4	a
5	apostar
6	por
7	un
8	sistema
9	4-4-2
10	en
11	el
12	que
13	la
14	primera
15	duda
16	parece
17	ya
18	despejada
19	,
20	por
21	lo
22	que
23	todo
24	apunta
25	a
26	que
27	Javier
28	López
29	Vallejo
30	será
31	el
32	portero
33	titular
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	técnico	NOUN	3	nsubj
3	volvió	VERB	0	root
4	a	ADP	5	mark
5	apostar	VERB	3	xcomp
6	por	ADP	8	case
7	un	DET	8	det
8	sistema	NOUN	3	obj
9	4-4-2	NUM	8	appos
10	en	ADP	12	case
11	el	DET	12	det
12	que	PRON	16	obl
13	la	DET	15	det
14	primera	ADJ	15	amod
15	duda	NOUN	16	nsubj
16	parece	VERB	8	acl
17	ya	ADV	16	advmod
18	despejada	ADJ	16	xcomp
19	,	PUNCT	24	punct
20	por	ADP	24	mark
21	lo	PRON	24	det
22	que	PRON	24	obl
23	todo	PRON	24	nsubj
24	apunta	VERB	5	advcl
25	a	ADP	32	mark
26	que	SCONJ	32	mark
27	Javier	PROPN	32	nsubj
28	López	PROPN	27	flat
29	Vallejo	PROPN	27	flat
30	será	AUX	32	cop
31	el	DET	32	det
32	portero	NOUN	24	advcl
33	titular	ADJ	32	amod
34	.	PUNCT	3	punct