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:
Desafortunadamente, Set es la muestra de un hecho que sucede con demasiada frecuencia: tratar al niño como un espectador que resulta fácil de contentar ofreciéndole cuatro gags como recurso llano e infalible, a la vez que se destinan pocos medios, tanto artísticos como técnicos, para esta clase de espectáculos.
Postion	Tokenization
1	Desafortunadamente
2	,
3	Set
4	es
5	la
6	muestra
7	de
8	un
9	hecho
10	que
11	sucede
12	con
13	demasiada
14	frecuencia
15	:
16	tratar
17	al
18	niño
19	como
20	un
21	espectador
22	que
23	resulta
24	fácil
25	de
26	contentar
27	ofreciéndole
28	ofreciendo
29	le
30	cuatro
31	gags
32	como
33	recurso
34	llano
35	e
36	infalible
37	,
38	a
39	la
40	vez
41	que
42	se
43	destinan
44	pocos
45	medios
46	,
47	tanto
48	artísticos
49	como
50	técnicos
51	,
52	para
53	esta
54	clase
55	de
56	espectáculos
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Desafortunadamente	ADV	6	advmod
2	,	PUNCT	1	punct
3	Set	PROPN	6	nsubj
4	es	AUX	6	cop
5	la	DET	6	det
6	muestra	NOUN	0	root
7	de	ADP	9	case
8	un	DET	9	det
9	hecho	NOUN	6	nmod
10	que	PRON	11	nsubj
11	sucede	VERB	9	acl
12	con	ADP	14	case
13	demasiada	DET	14	det
14	frecuencia	NOUN	11	obl
15	:	PUNCT	16	punct
16	tratar	VERB	9	acl
17	al	ADP	18	case
18	niño	NOUN	16	obj
19	como	SCONJ	21	mark
20	un	DET	21	det
21	espectador	NOUN	16	obl
22	que	PRON	23	nsubj
23	resulta	VERB	21	acl
24	fácil	ADJ	23	obj
25	de	ADP	26	mark
26	contentar	VERB	24	acl
27	ofreciéndole	_	None	_
28	ofreciendo	VERB	26	xcomp
29	le	PRON	27	obj
30	cuatro	NUM	30	nummod
31	gags	NOUN	27	obj
32	como	SCONJ	32	mark
33	recurso	NOUN	27	obj
34	llano	ADJ	32	amod
35	e	CCONJ	35	cc
36	infalible	ADJ	33	conj
37	,	PUNCT	42	punct
38	a	ADP	42	mark
39	la	DET	37	fixed
40	vez	NOUN	37	fixed
41	que	SCONJ	37	fixed
42	se	PRON	42	expl:pass
43	destinan	VERB	6	advcl
44	pocos	DET	44	det
45	medios	NOUN	42	nsubj
46	,	PUNCT	47	punct
47	tanto	ADV	47	cc
48	artísticos	ADJ	44	amod
49	como	SCONJ	49	cc
50	técnicos	ADJ	47	conj
51	,	PUNCT	47	punct
52	para	ADP	53	case
53	esta	DET	53	det
54	clase	NOUN	44	nmod
55	de	ADP	55	case
56	espectáculos	NOUN	53	nmod
57	.	PUNCT	6	punct