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:
Explicó que esta labor la realiza a través de una gran variedad de programas culturales, educativos y informativos como presentaciones de libros, conciertos, exposiciones de arte y cursos de español, programa este último que cuenta con 2.500 alumnos.
Postion	Tokenization
1	Explicó
2	que
3	esta
4	labor
5	la
6	realiza
7	a
8	través
9	de
10	una
11	gran
12	variedad
13	de
14	programas
15	culturales
16	,
17	educativos
18	y
19	informativos
20	como
21	presentaciones
22	de
23	libros
24	,
25	conciertos
26	,
27	exposiciones
28	de
29	arte
30	y
31	cursos
32	de
33	español
34	,
35	programa
36	este
37	último
38	que
39	cuenta
40	con
41	2.500
42	alumnos
43	.
Position	Tokenization	UPOS	Head	Deprel
1	Explicó	VERB	0	root
2	que	SCONJ	6	mark
3	esta	DET	4	det
4	labor	NOUN	6	iobj
5	la	PRON	6	obj
6	realiza	VERB	1	ccomp
7	a	ADP	12	case
8	través	NOUN	7	fixed
9	de	ADP	7	fixed
10	una	DET	12	det
11	gran	ADJ	12	amod
12	variedad	NOUN	6	obl
13	de	ADP	14	case
14	programas	NOUN	12	nmod
15	culturales	ADJ	14	amod
16	,	PUNCT	17	punct
17	educativos	ADJ	15	conj
18	y	CCONJ	19	cc
19	informativos	ADJ	15	conj
20	como	SCONJ	21	mark
21	presentaciones	NOUN	14	nmod
22	de	ADP	23	case
23	libros	NOUN	21	nmod
24	,	PUNCT	25	punct
25	conciertos	NOUN	21	conj
26	,	PUNCT	27	punct
27	exposiciones	NOUN	21	conj
28	de	ADP	29	case
29	arte	NOUN	27	nmod
30	y	CCONJ	31	cc
31	cursos	NOUN	21	conj
32	de	ADP	33	case
33	español	NOUN	31	nmod
34	,	PUNCT	35	punct
35	programa	NOUN	31	appos
36	este	DET	37	det
37	último	ADJ	35	appos
38	que	PRON	39	nsubj
39	cuenta	VERB	35	acl
40	con	ADP	42	case
41	2.500	NUM	42	nummod
42	alumnos	NOUN	39	obj
43	.	PUNCT	1	punct