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 Valencia empujó un poco más al Atlético de Madrid hacia el abismo de la Segunda División con una victoria por 2-0 que deja al equipo de Radomir Antic a cinco puntos de la zona que asegura la permanencia.
Postion	Tokenization
1	El
2	Valencia
3	empujó
4	un
5	poco
6	más
7	al
8	Atlético
9	de
10	Madrid
11	hacia
12	el
13	abismo
14	de
15	la
16	Segunda
17	División
18	con
19	una
20	victoria
21	por
22	2-0
23	que
24	deja
25	al
26	equipo
27	de
28	Radomir
29	Antic
30	a
31	cinco
32	puntos
33	de
34	la
35	zona
36	que
37	asegura
38	la
39	permanencia
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Valencia	PROPN	3	nsubj
3	empujó	VERB	0	root
4	un	DET	3	advmod
5	poco	ADV	4	fixed
6	más	ADV	4	advmod
7	al	ADP	8	case
8	Atlético	PROPN	3	obj
9	de	ADP	10	case
10	Madrid	PROPN	8	flat
11	hacia	ADP	13	case
12	el	DET	13	det
13	abismo	NOUN	3	obl
14	de	ADP	16	case
15	la	DET	16	det
16	Segunda	PROPN	13	nmod
17	División	PROPN	16	flat
18	con	ADP	20	case
19	una	DET	20	det
20	victoria	NOUN	3	obl
21	por	ADP	22	case
22	2-0	NUM	20	nummod
23	que	PRON	24	nsubj
24	deja	VERB	20	acl
25	al	ADP	26	case
26	equipo	NOUN	24	obj
27	de	ADP	28	case
28	Radomir	PROPN	26	nmod
29	Antic	PROPN	28	flat
30	a	ADP	32	case
31	cinco	NUM	32	nummod
32	puntos	NOUN	24	obj
33	de	ADP	35	case
34	la	DET	35	det
35	zona	NOUN	32	nmod
36	que	PRON	37	nsubj
37	asegura	VERB	35	acl
38	la	DET	39	det
39	permanencia	NOUN	37	obj
40	.	PUNCT	3	punct