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:
Además, Bjorklund se mostró muy ilusionado por la posibilidad de volver al once en Riazor y aseguró que está preparado para afrontar el partido desde el inicio.
Postion	Tokenization
1	Además
2	,
3	Bjorklund
4	se
5	mostró
6	muy
7	ilusionado
8	por
9	la
10	posibilidad
11	de
12	volver
13	al
14	once
15	en
16	Riazor
17	y
18	aseguró
19	que
20	está
21	preparado
22	para
23	afrontar
24	el
25	partido
26	desde
27	el
28	inicio
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	5	advmod
2	,	PUNCT	1	punct
3	Bjorklund	PROPN	5	nsubj
4	se	PRON	5	expl:pv
5	mostró	VERB	0	root
6	muy	ADV	7	advmod
7	ilusionado	ADJ	5	obj
8	por	ADP	10	case
9	la	DET	10	det
10	posibilidad	NOUN	7	obj
11	de	ADP	12	mark
12	volver	VERB	10	acl
13	al	ADP	14	case
14	once	NUM	12	obl
15	en	ADP	16	case
16	Riazor	PROPN	12	obl
17	y	CCONJ	18	cc
18	aseguró	VERB	5	conj
19	que	SCONJ	21	mark
20	está	AUX	21	cop
21	preparado	ADJ	18	ccomp
22	para	ADP	23	mark
23	afrontar	VERB	21	advcl
24	el	DET	25	det
25	partido	NOUN	23	obj
26	desde	ADP	28	case
27	el	DET	28	det
28	inicio	NOUN	23	obl
29	.	PUNCT	5	punct