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 equipo ha intentado crear dificultades con cambios de juego y balones largos, pero el trabajo defensivo del Eibar ha sido bueno", explicó Rubio.
Postion	Tokenization
1	"
2	El
3	equipo
4	ha
5	intentado
6	crear
7	dificultades
8	con
9	cambios
10	de
11	juego
12	y
13	balones
14	largos
15	,
16	pero
17	el
18	trabajo
19	defensivo
20	del
21	Eibar
22	ha
23	sido
24	bueno
25	"
26	,
27	explicó
28	Rubio
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	El	DET	3	det
3	equipo	NOUN	5	nsubj
4	ha	AUX	5	aux
5	intentado	VERB	27	ccomp
6	crear	VERB	5	xcomp
7	dificultades	NOUN	6	obj
8	con	ADP	9	case
9	cambios	NOUN	6	obl
10	de	ADP	11	case
11	juego	NOUN	9	nmod
12	y	CCONJ	13	cc
13	balones	NOUN	9	conj
14	largos	ADJ	13	amod
15	,	PUNCT	24	punct
16	pero	CCONJ	24	cc
17	el	DET	18	det
18	trabajo	NOUN	24	nsubj
19	defensivo	ADJ	18	amod
20	del	ADP	21	case
21	Eibar	PROPN	18	nmod
22	ha	AUX	24	aux
23	sido	AUX	24	cop
24	bueno	ADJ	5	conj
25	"	PUNCT	5	punct
26	,	PUNCT	5	punct
27	explicó	VERB	0	root
28	Rubio	PROPN	27	nsubj
29	.	PUNCT	27	punct