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:
Guardiola e Iván Helguera intentaron crear juego, pero Inglaterra, bien posicionada, convirtió la banda izquierda española, por donde se movían Luis Enrique y Romero, en un adorno.
Postion	Tokenization
1	Guardiola
2	e
3	Iván
4	Helguera
5	intentaron
6	crear
7	juego
8	,
9	pero
10	Inglaterra
11	,
12	bien
13	posicionada
14	,
15	convirtió
16	la
17	banda
18	izquierda
19	española
20	,
21	por
22	donde
23	se
24	movían
25	Luis
26	Enrique
27	y
28	Romero
29	,
30	en
31	un
32	adorno
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Guardiola	PROPN	5	nsubj
2	e	CCONJ	3	cc
3	Iván	PROPN	1	conj
4	Helguera	PROPN	3	flat
5	intentaron	VERB	0	root
6	crear	VERB	5	xcomp
7	juego	NOUN	6	obj
8	,	PUNCT	15	punct
9	pero	CCONJ	15	cc
10	Inglaterra	PROPN	15	nsubj
11	,	PUNCT	13	punct
12	bien	ADV	13	advmod
13	posicionada	ADJ	10	amod
14	,	PUNCT	13	punct
15	convirtió	VERB	5	conj
16	la	DET	17	det
17	banda	NOUN	15	obj
18	izquierda	ADJ	17	amod
19	española	ADJ	17	amod
20	,	PUNCT	24	punct
21	por	ADP	22	case
22	donde	PRON	24	obl
23	se	PRON	24	expl:pv
24	movían	VERB	17	acl
25	Luis	PROPN	24	nsubj
26	Enrique	PROPN	25	flat
27	y	CCONJ	28	cc
28	Romero	PROPN	25	conj
29	,	PUNCT	24	punct
30	en	ADP	32	case
31	un	DET	32	det
32	adorno	NOUN	15	obj
33	.	PUNCT	5	punct