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 técnico barcelonista ha asegurado que sus jugadores viajarán a Bélgica con el ánimo de "revancha", después de haber quedado apeados de la Liga de Campeones.
Postion	Tokenization
1	El
2	técnico
3	barcelonista
4	ha
5	asegurado
6	que
7	sus
8	jugadores
9	viajarán
10	a
11	Bélgica
12	con
13	el
14	ánimo
15	de
16	"
17	revancha
18	"
19	,
20	después
21	de
22	haber
23	quedado
24	apeados
25	de
26	la
27	Liga
28	de
29	Campeones
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	técnico	NOUN	5	nsubj
3	barcelonista	ADJ	2	amod
4	ha	AUX	5	aux
5	asegurado	VERB	0	root
6	que	SCONJ	9	mark
7	sus	DET	8	det
8	jugadores	NOUN	9	nsubj
9	viajarán	VERB	5	ccomp
10	a	ADP	11	case
11	Bélgica	PROPN	9	obl
12	con	ADP	14	case
13	el	DET	14	det
14	ánimo	NOUN	9	obl
15	de	ADP	17	case
16	"	PUNCT	17	punct
17	revancha	NOUN	14	nmod
18	"	PUNCT	17	punct
19	,	PUNCT	20	punct
20	después	ADV	9	advmod
21	de	ADP	24	case
22	haber	AUX	23	aux
23	quedado	VERB	20	advcl
24	apeados	ADJ	23	xcomp
25	de	ADP	27	case
26	la	DET	27	det
27	Liga	PROPN	23	obl
28	de	ADP	29	case
29	Campeones	PROPN	27	flat
30	.	PUNCT	5	punct