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:
Aún así, Joachim Bjorklund, quien destacó la importancia de las dos próximas jornadas de liga - ya que el Deportivo debe recibir al Valencia y viajar al Camp Nou - cree que el equipo gallego será incapaz de ganar estos dos partidos.
Postion	Tokenization
1	Aún
2	así
3	,
4	Joachim
5	Bjorklund
6	,
7	quien
8	destacó
9	la
10	importancia
11	de
12	las
13	dos
14	próximas
15	jornadas
16	de
17	liga
18	-
19	ya
20	que
21	el
22	Deportivo
23	debe
24	recibir
25	al
26	Valencia
27	y
28	viajar
29	al
30	Camp
31	Nou
32	-
33	cree
34	que
35	el
36	equipo
37	gallego
38	será
39	incapaz
40	de
41	ganar
42	estos
43	dos
44	partidos
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Aún	ADV	2	advmod
2	así	ADV	33	advmod
3	,	PUNCT	2	punct
4	Joachim	PROPN	33	nsubj
5	Bjorklund	PROPN	4	flat
6	,	PUNCT	8	punct
7	quien	PRON	8	nsubj
8	destacó	VERB	4	acl
9	la	DET	10	det
10	importancia	NOUN	8	obj
11	de	ADP	15	case
12	las	DET	15	det
13	dos	NUM	12	nummod
14	próximas	ADJ	15	amod
15	jornadas	NOUN	10	nmod
16	de	ADP	17	case
17	liga	NOUN	15	nmod
18	-	PUNCT	24	punct
19	ya	ADV	24	mark
20	que	SCONJ	19	fixed
21	el	DET	22	det
22	Deportivo	PROPN	24	nsubj
23	debe	AUX	24	aux
24	recibir	VERB	8	advcl
25	al	ADP	26	case
26	Valencia	PROPN	24	obj
27	y	CCONJ	28	cc
28	viajar	VERB	24	conj
29	al	ADP	30	case
30	Camp	PROPN	28	obl
31	Nou	NUM	30	nummod
32	-	PUNCT	24	punct
33	cree	VERB	0	root
34	que	SCONJ	39	mark
35	el	DET	36	det
36	equipo	NOUN	39	nsubj
37	gallego	ADJ	36	amod
38	será	AUX	39	cop
39	incapaz	ADJ	33	ccomp
40	de	ADP	41	mark
41	ganar	VERB	39	acl
42	estos	DET	44	det
43	dos	NUM	42	nummod
44	partidos	NOUN	41	obj
45	.	PUNCT	33	punct