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:
"Resulta muy difícil llegar hasta Radovan, incluso para aquellos que van con buenas intenciones, y mucho más para los que las tienen malas", explicó Biljana al rotativo durante su breve permanencia en Belgrado para recibir un premio literario en nombre de su marido.
Postion	Tokenization
1	"
2	Resulta
3	muy
4	difícil
5	llegar
6	hasta
7	Radovan
8	,
9	incluso
10	para
11	aquellos
12	que
13	van
14	con
15	buenas
16	intenciones
17	,
18	y
19	mucho
20	más
21	para
22	los
23	que
24	las
25	tienen
26	malas
27	"
28	,
29	explicó
30	Biljana
31	al
32	rotativo
33	durante
34	su
35	breve
36	permanencia
37	en
38	Belgrado
39	para
40	recibir
41	un
42	premio
43	literario
44	en
45	nombre
46	de
47	su
48	marido
49	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Resulta	VERB	29	ccomp
3	muy	ADV	4	advmod
4	difícil	ADJ	2	obj
5	llegar	VERB	2	csubj
6	hasta	ADP	7	case
7	Radovan	PROPN	5	obl
8	,	PUNCT	9	punct
9	incluso	ADV	2	advmod
10	para	ADP	9	case
11	aquellos	PRON	9	nmod
12	que	PRON	13	nsubj
13	van	VERB	11	acl
14	con	ADP	16	case
15	buenas	ADJ	16	amod
16	intenciones	NOUN	13	obj
17	,	PUNCT	20	punct
18	y	CCONJ	20	cc
19	mucho	ADV	20	advmod
20	más	ADV	2	conj
21	para	ADP	20	case
22	los	DET	25	det
23	que	PRON	25	nsubj
24	las	PRON	25	obj
25	tienen	VERB	20	acl
26	malas	ADJ	25	iobj
27	"	PUNCT	2	punct
28	,	PUNCT	2	punct
29	explicó	VERB	0	root
30	Biljana	PROPN	29	nsubj
31	al	ADP	32	case
32	rotativo	NOUN	29	iobj
33	durante	ADP	36	case
34	su	DET	36	det
35	breve	ADJ	36	amod
36	permanencia	NOUN	29	obl
37	en	ADP	38	case
38	Belgrado	PROPN	36	nmod
39	para	ADP	40	mark
40	recibir	VERB	36	acl
41	un	DET	42	det
42	premio	NOUN	40	obj
43	literario	ADJ	42	amod
44	en	ADP	48	case
45	nombre	NOUN	44	fixed
46	de	ADP	44	fixed
47	su	DET	48	det
48	marido	NOUN	40	obl
49	.	PUNCT	29	punct