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:
Verino recordó que ha demostrado que "en el rural se puede construir y contribuir al desarrollo, con una actividad tan compleja como la moda", pero agregó que considera muy difícil "ejercer liderazgos aquí".
Postion	Tokenization
1	Verino
2	recordó
3	que
4	ha
5	demostrado
6	que
7	"
8	en
9	el
10	rural
11	se
12	puede
13	construir
14	y
15	contribuir
16	al
17	desarrollo
18	,
19	con
20	una
21	actividad
22	tan
23	compleja
24	como
25	la
26	moda
27	"
28	,
29	pero
30	agregó
31	que
32	considera
33	muy
34	difícil
35	"
36	ejercer
37	liderazgos
38	aquí
39	"
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Verino	PROPN	2	nsubj
2	recordó	VERB	0	root
3	que	SCONJ	5	mark
4	ha	AUX	5	aux
5	demostrado	VERB	2	ccomp
6	que	SCONJ	13	mark
7	"	PUNCT	13	punct
8	en	ADP	10	case
9	el	DET	10	det
10	rural	ADJ	13	advmod
11	se	PRON	13	expl:pass
12	puede	AUX	13	aux
13	construir	VERB	5	xcomp
14	y	CCONJ	15	cc
15	contribuir	VERB	13	conj
16	al	ADP	17	case
17	desarrollo	NOUN	15	obj
18	,	PUNCT	21	punct
19	con	ADP	21	case
20	una	DET	21	det
21	actividad	NOUN	15	obl
22	tan	ADV	23	advmod
23	compleja	ADJ	21	amod
24	como	SCONJ	26	mark
25	la	DET	26	det
26	moda	NOUN	21	nmod
27	"	PUNCT	13	punct
28	,	PUNCT	30	punct
29	pero	CCONJ	30	cc
30	agregó	VERB	2	conj
31	que	SCONJ	32	mark
32	considera	VERB	30	ccomp
33	muy	ADV	34	advmod
34	difícil	ADJ	32	iobj
35	"	PUNCT	36	punct
36	ejercer	VERB	32	xcomp
37	liderazgos	NOUN	36	obj
38	aquí	ADV	36	advmod
39	"	PUNCT	36	punct
40	.	PUNCT	2	punct