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:
Cuanto más próximas se encuentren las moléculas en el apilamiento, mayor será el solapamiento de los orbitales entre ellos y, en consecuencia, mayor será la deslocalización de la carga.
Postion	Tokenization
1	Cuanto
2	más
3	próximas
4	se
5	encuentren
6	las
7	moléculas
8	en
9	el
10	apilamiento
11	,
12	mayor
13	será
14	el
15	solapamiento
16	de
17	los
18	orbitales
19	entre
20	ellos
21	y
22	,
23	en
24	consecuencia
25	,
26	mayor
27	será
28	la
29	deslocalización
30	de
31	la
32	carga
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuanto	ADV	5	advmod
2	más	ADV	5	advmod
3	próximas	ADJ	5	xcomp
4	se	PRON	5	expl:pv
5	encuentren	VERB	12	advcl
6	las	DET	7	det
7	moléculas	NOUN	5	nsubj
8	en	ADP	10	case
9	el	DET	10	det
10	apilamiento	NOUN	5	obl
11	,	PUNCT	5	punct
12	mayor	ADJ	0	root
13	será	AUX	12	cop
14	el	DET	15	det
15	solapamiento	NOUN	12	nsubj
16	de	ADP	18	case
17	los	DET	18	det
18	orbitales	NOUN	15	nmod
19	entre	ADP	20	case
20	ellos	PRON	15	nmod
21	y	CCONJ	26	cc
22	,	PUNCT	23	punct
23	en	ADP	26	advmod
24	consecuencia	NOUN	23	fixed
25	,	PUNCT	23	punct
26	mayor	ADJ	12	conj
27	será	AUX	26	cop
28	la	DET	29	det
29	deslocalización	NOUN	26	nsubj
30	de	ADP	32	case
31	la	DET	32	det
32	carga	NOUN	29	nmod
33	.	PUNCT	12	punct