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:
Aumentó la presión sobre Guardiola, al que asfixió, y nadie fue capaz ya en el Barça de romper con diagonales un acoso que provocaba que, una y otra vez, el cuero cayera en poder del Arsenal.
Postion	Tokenization
1	Aumentó
2	la
3	presión
4	sobre
5	Guardiola
6	,
7	al
8	que
9	asfixió
10	,
11	y
12	nadie
13	fue
14	capaz
15	ya
16	en
17	el
18	Barça
19	de
20	romper
21	con
22	diagonales
23	un
24	acoso
25	que
26	provocaba
27	que
28	,
29	una
30	y
31	otra
32	vez
33	,
34	el
35	cuero
36	cayera
37	en
38	poder
39	del
40	Arsenal
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Aumentó	VERB	0	root
2	la	DET	3	det
3	presión	NOUN	1	obj
4	sobre	ADP	5	case
5	Guardiola	PROPN	3	nmod
6	,	PUNCT	9	punct
7	al	ADP	8	case
8	que	PRON	9	obj
9	asfixió	VERB	5	acl
10	,	PUNCT	14	punct
11	y	CCONJ	14	cc
12	nadie	PRON	14	nsubj
13	fue	AUX	14	cop
14	capaz	ADJ	1	conj
15	ya	ADV	14	advmod
16	en	ADP	18	case
17	el	DET	18	det
18	Barça	PROPN	14	nmod
19	de	ADP	20	mark
20	romper	VERB	14	acl
21	con	ADP	22	case
22	diagonales	NOUN	20	obl
23	un	DET	24	det
24	acoso	NOUN	20	obj
25	que	PRON	26	nsubj
26	provocaba	VERB	24	acl
27	que	SCONJ	36	mark
28	,	PUNCT	32	punct
29	una	DET	32	det
30	y	CCONJ	31	cc
31	otra	PRON	29	conj
32	vez	NOUN	36	obl
33	,	PUNCT	32	punct
34	el	DET	35	det
35	cuero	NOUN	36	nsubj
36	cayera	VERB	26	ccomp
37	en	ADP	38	case
38	poder	NOUN	36	obl
39	del	ADP	40	case
40	Arsenal	PROPN	38	nmod
41	.	PUNCT	1	punct