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 delantero brasileño se mostraba satisfecho de su decisión de no haber viajado a Colombia para jugar con la selección de su país.
Postion	Tokenization
1	El
2	delantero
3	brasileño
4	se
5	mostraba
6	satisfecho
7	de
8	su
9	decisión
10	de
11	no
12	haber
13	viajado
14	a
15	Colombia
16	para
17	jugar
18	con
19	la
20	selección
21	de
22	su
23	país
24	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	delantero	NOUN	5	nsubj
3	brasileño	ADJ	2	amod
4	se	PRON	5	expl:pv
5	mostraba	VERB	0	root
6	satisfecho	ADJ	5	obj
7	de	ADP	9	case
8	su	DET	9	det
9	decisión	NOUN	6	obj
10	de	ADP	13	mark
11	no	ADV	13	advmod
12	haber	AUX	13	aux
13	viajado	VERB	9	acl
14	a	ADP	15	case
15	Colombia	PROPN	13	obl
16	para	ADP	17	mark
17	jugar	VERB	13	advcl
18	con	ADP	20	case
19	la	DET	20	det
20	selección	NOUN	17	obl
21	de	ADP	23	case
22	su	DET	23	det
23	país	NOUN	20	nmod
24	.	PUNCT	5	punct