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:
Un reloj por el que Ronaldo habría pagado 20.000 dólares, según versiones periodísticas, pero que el futbolista asegura haber adquirido por 130 dólares, constituye el objeto de la investigación de la Policía Federal.
Postion	Tokenization
1	Un
2	reloj
3	por
4	el
5	que
6	Ronaldo
7	habría
8	pagado
9	20.000
10	dólares
11	,
12	según
13	versiones
14	periodísticas
15	,
16	pero
17	que
18	el
19	futbolista
20	asegura
21	haber
22	adquirido
23	por
24	130
25	dólares
26	,
27	constituye
28	el
29	objeto
30	de
31	la
32	investigación
33	de
34	la
35	Policía
36	Federal
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	reloj	NOUN	27	nsubj
3	por	ADP	5	case
4	el	DET	5	det
5	que	PRON	8	obl
6	Ronaldo	PROPN	8	nsubj
7	habría	AUX	8	aux
8	pagado	VERB	2	acl
9	20.000	NUM	10	nummod
10	dólares	NOUN	8	obj
11	,	PUNCT	13	punct
12	según	ADP	13	case
13	versiones	NOUN	8	obl
14	periodísticas	ADJ	13	amod
15	,	PUNCT	13	punct
16	pero	CCONJ	20	cc
17	que	PRON	20	iobj
18	el	DET	19	det
19	futbolista	NOUN	20	nsubj
20	asegura	VERB	8	conj
21	haber	AUX	22	aux
22	adquirido	VERB	20	ccomp
23	por	ADP	25	case
24	130	NUM	25	nummod
25	dólares	NOUN	22	obl
26	,	PUNCT	2	punct
27	constituye	VERB	0	root
28	el	DET	29	det
29	objeto	NOUN	27	obj
30	de	ADP	32	case
31	la	DET	32	det
32	investigación	NOUN	29	nmod
33	de	ADP	35	case
34	la	DET	35	det
35	Policía	PROPN	32	nmod
36	Federal	PROPN	35	flat
37	.	PUNCT	27	punct