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:
Usualmente, como hemos visto, es un grupo dicianometileno quien cumple este papel en el TNQ y análogos, y se ha mantenido en la mayoría de moléculas aceptoras sintetizadas con sistemas n extendidos.
Postion	Tokenization
1	Usualmente
2	,
3	como
4	hemos
5	visto
6	,
7	es
8	un
9	grupo
10	dicianometileno
11	quien
12	cumple
13	este
14	papel
15	en
16	el
17	TNQ
18	y
19	análogos
20	,
21	y
22	se
23	ha
24	mantenido
25	en
26	la
27	mayoría
28	de
29	moléculas
30	aceptoras
31	sintetizadas
32	con
33	sistemas
34	n
35	extendidos
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Usualmente	ADV	7	advmod
2	,	PUNCT	5	punct
3	como	SCONJ	5	mark
4	hemos	AUX	5	aux
5	visto	VERB	7	advcl
6	,	PUNCT	5	punct
7	es	AUX	0	root
8	un	DET	9	det
9	grupo	NOUN	7	nsubj
10	dicianometileno	ADJ	9	amod
11	quien	PRON	12	nsubj
12	cumple	VERB	7	ccomp
13	este	DET	14	det
14	papel	NOUN	12	obj
15	en	ADP	17	case
16	el	DET	17	det
17	TNQ	NOUN	12	obl
18	y	CCONJ	19	cc
19	análogos	ADJ	17	conj
20	,	PUNCT	24	punct
21	y	CCONJ	24	cc
22	se	PRON	24	expl:pass
23	ha	AUX	24	aux
24	mantenido	VERB	12	conj
25	en	ADP	27	case
26	la	DET	27	det
27	mayoría	NOUN	24	obl
28	de	ADP	29	case
29	moléculas	NOUN	27	nmod
30	aceptoras	ADJ	29	amod
31	sintetizadas	ADJ	29	amod
32	con	ADP	33	case
33	sistemas	NOUN	31	obl
34	n	NOUN	33	appos
35	extendidos	ADJ	33	amod
36	.	PUNCT	7	punct