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:
Creo que el título más apropiado para una colección de artículos de crítica cinematográfica es el que Guiliermo Cabrera Infante escogió para su libro "Un oficio del siglo XX".
Postion	Tokenization
1	Creo
2	que
3	el
4	título
5	más
6	apropiado
7	para
8	una
9	colección
10	de
11	artículos
12	de
13	crítica
14	cinematográfica
15	es
16	el
17	que
18	Guiliermo
19	Cabrera
20	Infante
21	escogió
22	para
23	su
24	libro
25	"
26	Un
27	oficio
28	del
29	siglo
30	XX
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Creo	VERB	0	root
2	que	SCONJ	15	mark
3	el	DET	4	det
4	título	NOUN	15	nsubj
5	más	ADV	6	advmod
6	apropiado	ADJ	4	amod
7	para	ADP	9	case
8	una	DET	9	det
9	colección	NOUN	6	obl
10	de	ADP	11	case
11	artículos	NOUN	9	nmod
12	de	ADP	13	case
13	crítica	NOUN	11	nmod
14	cinematográfica	ADJ	13	amod
15	es	AUX	1	ccomp
16	el	DET	21	det
17	que	PRON	21	obj
18	Guiliermo	PROPN	21	nsubj
19	Cabrera	PROPN	18	flat
20	Infante	PROPN	18	flat
21	escogió	VERB	15	ccomp
22	para	ADP	24	case
23	su	DET	24	det
24	libro	NOUN	21	obl
25	"	PUNCT	26	punct
26	Un	DET	27	det
27	oficio	PROPN	24	appos
28	del	ADP	29	case
29	siglo	PROPN	26	flat
30	XX	PROPN	29	flat
31	"	PUNCT	29	punct
32	.	PUNCT	1	punct