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:
Set se desarrolla con una sucesión de imágenes que corresponden a las siete artes, pero naufraga a pesar de tener escenas aplaudibles como las dedicadas a la pintura y la escultura.
Postion	Tokenization
1	Set
2	se
3	desarrolla
4	con
5	una
6	sucesión
7	de
8	imágenes
9	que
10	corresponden
11	a
12	las
13	siete
14	artes
15	,
16	pero
17	naufraga
18	a
19	pesar
20	de
21	tener
22	escenas
23	aplaudibles
24	como
25	las
26	dedicadas
27	a
28	la
29	pintura
30	y
31	la
32	escultura
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Set	PROPN	3	nsubj
2	se	PRON	3	expl:pv
3	desarrolla	VERB	0	root
4	con	ADP	6	case
5	una	DET	6	det
6	sucesión	NOUN	3	obl
7	de	ADP	8	case
8	imágenes	NOUN	6	nmod
9	que	PRON	10	nsubj
10	corresponden	VERB	8	acl
11	a	ADP	14	case
12	las	DET	14	det
13	siete	NUM	12	nummod
14	artes	NOUN	10	obj
15	,	PUNCT	17	punct
16	pero	CCONJ	17	cc
17	naufraga	VERB	3	conj
18	a	ADP	21	mark
19	pesar	NOUN	18	fixed
20	de	ADP	18	fixed
21	tener	VERB	17	advcl
22	escenas	NOUN	21	obj
23	aplaudibles	ADJ	22	amod
24	como	SCONJ	26	mark
25	las	DET	26	det
26	dedicadas	ADJ	22	amod
27	a	ADP	29	case
28	la	DET	29	det
29	pintura	NOUN	26	obj
30	y	CCONJ	32	cc
31	la	DET	32	det
32	escultura	NOUN	29	conj
33	.	PUNCT	3	punct