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 centrocampista colombiano sostiene que tomó la decisión de no volver, para no perjudicar la situación del seleccionado cafetero ni la suya propia.
Postion	Tokenization
1	El
2	centrocampista
3	colombiano
4	sostiene
5	que
6	tomó
7	la
8	decisión
9	de
10	no
11	volver
12	,
13	para
14	no
15	perjudicar
16	la
17	situación
18	del
19	seleccionado
20	cafetero
21	ni
22	la
23	suya
24	propia
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	centrocampista	NOUN	4	nsubj
3	colombiano	ADJ	2	amod
4	sostiene	VERB	0	root
5	que	SCONJ	6	mark
6	tomó	VERB	4	ccomp
7	la	DET	8	det
8	decisión	NOUN	6	obj
9	de	ADP	11	mark
10	no	ADV	11	advmod
11	volver	VERB	8	acl
12	,	PUNCT	15	punct
13	para	ADP	15	mark
14	no	ADV	15	advmod
15	perjudicar	VERB	6	advcl
16	la	DET	17	det
17	situación	NOUN	15	obj
18	del	ADP	19	case
19	seleccionado	ADJ	17	amod
20	cafetero	ADJ	19	amod
21	ni	CCONJ	22	cc
22	la	DET	17	conj
23	suya	DET	22	compound
24	propia	ADJ	22	amod
25	.	PUNCT	4	punct