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:
"Me gustaría ver a la persona a la que EEUU pagaría 5 millones de dólares (750 millones de pesetas) por la cabeza de Radovan.
Postion	Tokenization
1	"
2	Me
3	gustaría
4	ver
5	a
6	la
7	persona
8	a
9	la
10	que
11	EEUU
12	pagaría
13	5
14	millones
15	de
16	dólares
17	(
18	750
19	millones
20	de
21	pesetas
22	)
23	por
24	la
25	cabeza
26	de
27	Radovan
28	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Me	PRON	3	iobj
3	gustaría	VERB	0	root
4	ver	VERB	3	csubj
5	a	ADP	7	case
6	la	DET	7	det
7	persona	NOUN	4	obj
8	a	ADP	10	case
9	la	DET	10	det
10	que	PRON	12	obj
11	EEUU	PROPN	12	nsubj
12	pagaría	VERB	7	acl
13	5	NUM	14	nummod
14	millones	NOUN	12	obj
15	de	ADP	16	case
16	dólares	NOUN	14	nmod
17	(	PUNCT	19	punct
18	750	NUM	19	nummod
19	millones	NOUN	14	appos
20	de	ADP	21	case
21	pesetas	NOUN	19	nmod
22	)	PUNCT	19	punct
23	por	ADP	25	case
24	la	DET	25	det
25	cabeza	NOUN	12	obl
26	de	ADP	27	case
27	Radovan	PROPN	25	nmod
28	.	PUNCT	3	punct