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 Atleti fue zapatista en el Bernabéu y no consiguió acabar con ese poder oficialista que todavía es el Real Madrid de las arcas vacías y la caja de Pandora llena.
Postion	Tokenization
1	El
2	Atleti
3	fue
4	zapatista
5	en
6	el
7	Bernabéu
8	y
9	no
10	consiguió
11	acabar
12	con
13	ese
14	poder
15	oficialista
16	que
17	todavía
18	es
19	el
20	Real
21	Madrid
22	de
23	las
24	arcas
25	vacías
26	y
27	la
28	caja
29	de
30	Pandora
31	llena
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Atleti	PROPN	4	nsubj
3	fue	AUX	4	cop
4	zapatista	ADJ	0	root
5	en	ADP	7	case
6	el	DET	7	det
7	Bernabéu	PROPN	4	obl
8	y	CCONJ	10	cc
9	no	ADV	10	advmod
10	consiguió	VERB	4	conj
11	acabar	VERB	10	xcomp
12	con	ADP	14	case
13	ese	DET	14	det
14	poder	NOUN	11	obj
15	oficialista	ADJ	14	amod
16	que	PRON	14	acl
17	todavía	ADV	16	advmod
18	es	AUX	16	cop
19	el	DET	20	det
20	Real	PROPN	16	nsubj
21	Madrid	PROPN	20	flat
22	de	ADP	24	case
23	las	DET	24	det
24	arcas	NOUN	20	nmod
25	vacías	ADJ	24	amod
26	y	CCONJ	28	cc
27	la	DET	28	det
28	caja	NOUN	24	conj
29	de	ADP	30	case
30	Pandora	PROPN	28	nmod
31	llena	ADJ	30	amod
32	.	PUNCT	4	punct