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 resultado de esa química fueron relatos profundos, como un viaje a Sicilia tras las huellas de pólvora de la mafia corleonesa o las entrevistas ejemplares a escritores que le asombraban, como Álvaro Mutis y Tomás Eloy Martínez.
Postion	Tokenization
1	El
2	resultado
3	de
4	esa
5	química
6	fueron
7	relatos
8	profundos
9	,
10	como
11	un
12	viaje
13	a
14	Sicilia
15	tras
16	las
17	huellas
18	de
19	pólvora
20	de
21	la
22	mafia
23	corleonesa
24	o
25	las
26	entrevistas
27	ejemplares
28	a
29	escritores
30	que
31	le
32	asombraban
33	,
34	como
35	Álvaro
36	Mutis
37	y
38	Tomás
39	Eloy
40	Martínez
41	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	resultado	NOUN	0	root
3	de	ADP	5	case
4	esa	DET	5	det
5	química	NOUN	2	nmod
6	fueron	AUX	2	cop
7	relatos	NOUN	2	nsubj
8	profundos	ADJ	7	amod
9	,	PUNCT	12	punct
10	como	SCONJ	12	mark
11	un	DET	12	det
12	viaje	NOUN	7	nmod
13	a	ADP	14	case
14	Sicilia	PROPN	12	nmod
15	tras	ADP	17	case
16	las	DET	17	det
17	huellas	NOUN	12	nmod
18	de	ADP	19	case
19	pólvora	NOUN	17	nmod
20	de	ADP	22	case
21	la	DET	22	det
22	mafia	NOUN	17	nmod
23	corleonesa	ADJ	22	amod
24	o	CCONJ	26	cc
25	las	DET	26	det
26	entrevistas	NOUN	12	conj
27	ejemplares	ADJ	26	amod
28	a	ADP	29	case
29	escritores	NOUN	26	nmod
30	que	PRON	32	nsubj
31	le	PRON	32	obj
32	asombraban	VERB	29	acl
33	,	PUNCT	35	punct
34	como	SCONJ	35	mark
35	Álvaro	PROPN	29	nmod
36	Mutis	PROPN	35	flat
37	y	CCONJ	38	cc
38	Tomás	PROPN	35	conj
39	Eloy	PROPN	38	flat
40	Martínez	PROPN	38	flat
41	.	PUNCT	2	punct