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:
No es un problema nuevo para él, pero no es lo mismo ver imágenes en el cine o leer un libro que sentarte en la butaca y ver en directo algo que sabes que pasa en la vida real.
Postion	Tokenization
1	No
2	es
3	un
4	problema
5	nuevo
6	para
7	él
8	,
9	pero
10	no
11	es
12	lo
13	mismo
14	ver
15	imágenes
16	en
17	el
18	cine
19	o
20	leer
21	un
22	libro
23	que
24	sentarte
25	sentar
26	te
27	en
28	la
29	butaca
30	y
31	ver
32	en
33	directo
34	algo
35	que
36	sabes
37	que
38	pasa
39	en
40	la
41	vida
42	real
43	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	4	advmod
2	es	AUX	4	cop
3	un	DET	4	det
4	problema	NOUN	0	root
5	nuevo	ADJ	4	amod
6	para	ADP	7	case
7	él	PRON	4	obj
8	,	PUNCT	13	punct
9	pero	CCONJ	13	cc
10	no	ADV	13	advmod
11	es	AUX	13	cop
12	lo	PRON	13	det
13	mismo	PRON	4	conj
14	ver	VERB	13	csubj
15	imágenes	NOUN	14	obj
16	en	ADP	18	case
17	el	DET	18	det
18	cine	NOUN	14	obl
19	o	CCONJ	20	cc
20	leer	VERB	14	conj
21	un	DET	22	det
22	libro	NOUN	20	obj
23	que	SCONJ	24	mark
24	sentarte	_	None	_
25	sentar	VERB	13	advcl
26	te	PRON	24	expl:pv
27	en	ADP	28	case
28	la	DET	28	det
29	butaca	NOUN	24	obl
30	y	CCONJ	30	cc
31	ver	VERB	24	conj
32	en	ADP	30	advmod
33	directo	NOUN	31	fixed
34	algo	PRON	30	obj
35	que	PRON	35	nsubj
36	sabes	VERB	33	acl
37	que	SCONJ	37	mark
38	pasa	VERB	35	ccomp
39	en	ADP	40	case
40	la	DET	40	det
41	vida	NOUN	37	obl
42	real	ADJ	40	amod
43	.	PUNCT	4	punct