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:
Hierro lo tiene crudo frente a shows de canciones del verano, pero es de agradecer que TVE tenga una opción digna para aquellos a los que no les hagan tilín referentes sociales de la categoría de Chenoa y Bisbal.
Postion	Tokenization
1	Hierro
2	lo
3	tiene
4	crudo
5	frente
6	a
7	shows
8	de
9	canciones
10	del
11	verano
12	,
13	pero
14	es
15	de
16	agradecer
17	que
18	TVE
19	tenga
20	una
21	opción
22	digna
23	para
24	aquellos
25	a
26	los
27	que
28	no
29	les
30	hagan
31	tilín
32	referentes
33	sociales
34	de
35	la
36	categoría
37	de
38	Chenoa
39	y
40	Bisbal
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Hierro	PROPN	3	nsubj
2	lo	PRON	3	obj
3	tiene	VERB	0	root
4	crudo	ADJ	3	iobj
5	frente	NOUN	7	case
6	a	ADP	5	fixed
7	shows	NOUN	3	obl
8	de	ADP	9	case
9	canciones	NOUN	7	nmod
10	del	ADP	11	case
11	verano	NOUN	9	nmod
12	,	PUNCT	14	punct
13	pero	CCONJ	14	cc
14	es	AUX	3	conj
15	de	ADP	16	mark
16	agradecer	VERB	14	ccomp
17	que	SCONJ	19	mark
18	TVE	PROPN	19	nsubj
19	tenga	VERB	14	csubj
20	una	DET	21	det
21	opción	NOUN	19	obj
22	digna	ADJ	21	amod
23	para	ADP	24	case
24	aquellos	PRON	21	nmod
25	a	ADP	27	case
26	los	DET	27	det
27	que	PRON	30	obj
28	no	ADV	30	advmod
29	les	PRON	30	obj
30	hagan	VERB	24	acl
31	tilín	NOUN	30	obj
32	referentes	NOUN	30	nsubj
33	sociales	ADJ	32	amod
34	de	ADP	36	case
35	la	DET	36	det
36	categoría	NOUN	32	nmod
37	de	ADP	38	case
38	Chenoa	PROPN	36	nmod
39	y	CCONJ	40	cc
40	Bisbal	PROPN	38	conj
41	.	PUNCT	3	punct