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:
Una alternativa para lograr una menor repulsión coulómbica, y al propio tiempo modular el potencial redox, consiste en la síntesis de moléculas aceptoras con sistemas n extendidos que contengan anillos heterocíclicos.
Postion	Tokenization
1	Una
2	alternativa
3	para
4	lograr
5	una
6	menor
7	repulsión
8	coulómbica
9	,
10	y
11	al
12	propio
13	tiempo
14	modular
15	el
16	potencial
17	redox
18	,
19	consiste
20	en
21	la
22	síntesis
23	de
24	moléculas
25	aceptoras
26	con
27	sistemas
28	n
29	extendidos
30	que
31	contengan
32	anillos
33	heterocíclicos
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	alternativa	NOUN	19	nsubj
3	para	ADP	4	mark
4	lograr	VERB	2	acl
5	una	DET	7	det
6	menor	ADJ	7	amod
7	repulsión	NOUN	4	obj
8	coulómbica	ADJ	7	amod
9	,	PUNCT	14	punct
10	y	CCONJ	14	cc
11	al	ADP	13	case
12	propio	ADJ	13	amod
13	tiempo	NOUN	14	obl
14	modular	VERB	4	conj
15	el	DET	16	det
16	potencial	NOUN	14	obj
17	redox	ADJ	16	amod
18	,	PUNCT	14	punct
19	consiste	VERB	0	root
20	en	ADP	22	case
21	la	DET	22	det
22	síntesis	NOUN	19	obj
23	de	ADP	24	case
24	moléculas	NOUN	22	nmod
25	aceptoras	ADJ	24	amod
26	con	ADP	27	case
27	sistemas	NOUN	22	nmod
28	n	NOUN	27	nmod
29	extendidos	ADJ	27	amod
30	que	PRON	31	nsubj
31	contengan	VERB	27	acl
32	anillos	NOUN	31	obj
33	heterocíclicos	ADJ	32	amod
34	.	PUNCT	19	punct