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:
Y mientras en TVE-1 Romero y Betancort recitaban sin sonrojarse lo que le dictaba un guión pasado de moda, en La 2, uno de los grandes poetas españoles contemporáneos, José Hierro, confesaba que le da vergüenza leer sus poemas, "por pudor", y que la poesía "es lo que sirve para decir aquello que no se puede decir".
Postion	Tokenization
1	Y
2	mientras
3	en
4	TVE-1
5	Romero
6	y
7	Betancort
8	recitaban
9	sin
10	sonrojarse
11	sonrojar
12	se
13	lo
14	que
15	le
16	dictaba
17	un
18	guión
19	pasado
20	de
21	moda
22	,
23	en
24	La
25	2
26	,
27	uno
28	de
29	los
30	grandes
31	poetas
32	españoles
33	contemporáneos
34	,
35	José
36	Hierro
37	,
38	confesaba
39	que
40	le
41	da
42	vergüenza
43	leer
44	sus
45	poemas
46	,
47	"
48	por
49	pudor
50	"
51	,
52	y
53	que
54	la
55	poesía
56	"
57	es
58	lo
59	que
60	sirve
61	para
62	decir
63	aquello
64	que
65	no
66	se
67	puede
68	decir
69	"
70	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	37	advmod
2	mientras	SCONJ	8	mark
3	en	ADP	4	case
4	TVE-1	PROPN	8	obl
5	Romero	PROPN	8	nsubj
6	y	CCONJ	7	cc
7	Betancort	PROPN	5	conj
8	recitaban	VERB	37	advcl
9	sin	ADP	10	mark
10	sonrojarse	_	None	_
11	sonrojar	VERB	8	advcl
12	se	PRON	10	expl:pv
13	lo	PRON	15	det
14	que	PRON	15	obj
15	le	PRON	15	obj
16	dictaba	VERB	8	ccomp
17	un	DET	17	det
18	guión	NOUN	15	nsubj
19	pasado	ADJ	17	amod
20	de	ADP	20	case
21	moda	NOUN	18	obl
22	,	PUNCT	24	punct
23	en	ADP	24	case
24	La	DET	24	det
25	2	NUM	37	obl
26	,	PUNCT	24	punct
27	uno	PRON	37	nsubj
28	de	ADP	30	case
29	los	DET	30	det
30	grandes	ADJ	30	amod
31	poetas	NOUN	26	nmod
32	españoles	ADJ	30	amod
33	contemporáneos	ADJ	30	amod
34	,	PUNCT	34	punct
35	José	PROPN	26	appos
36	Hierro	PROPN	34	flat
37	,	PUNCT	34	punct
38	confesaba	VERB	0	root
39	que	SCONJ	40	mark
40	le	PRON	40	obj
41	da	VERB	37	ccomp
42	vergüenza	NOUN	40	obj
43	leer	VERB	40	csubj
44	sus	DET	44	det
45	poemas	NOUN	42	obj
46	,	PUNCT	48	punct
47	"	PUNCT	48	punct
48	por	ADP	48	case
49	pudor	NOUN	40	obl
50	"	PUNCT	48	punct
51	,	PUNCT	48	punct
52	y	CCONJ	56	cc
53	que	SCONJ	56	mark
54	la	DET	54	det
55	poesía	NOUN	56	nsubj
56	"	PUNCT	56	punct
57	es	AUX	40	conj
58	lo	PRON	59	det
59	que	PRON	59	nsubj
60	sirve	VERB	56	ccomp
61	para	ADP	61	mark
62	decir	VERB	59	xcomp
63	aquello	PRON	61	obj
64	que	PRON	67	nsubj
65	no	ADV	67	advmod
66	se	PRON	67	expl:pass
67	puede	AUX	67	aux
68	decir	VERB	62	acl
69	"	PUNCT	56	punct
70	.	PUNCT	37	punct