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:
El productor empezó por poner en duda su paternidad y, de paso, el honor de su amante, lo que lógicamente cabreó a la artista.
Postion	Tokenization
1	El
2	productor
3	empezó
4	por
5	poner
6	en
7	duda
8	su
9	paternidad
10	y
11	,
12	de
13	paso
14	,
15	el
16	honor
17	de
18	su
19	amante
20	,
21	lo
22	que
23	lógicamente
24	cabreó
25	a
26	la
27	artista
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	productor	NOUN	3	nsubj
3	empezó	VERB	0	root
4	por	ADP	5	mark
5	poner	VERB	3	xcomp
6	en	ADP	7	case
7	duda	NOUN	5	compound
8	su	DET	9	det
9	paternidad	NOUN	5	obj
10	y	CCONJ	16	cc
11	,	PUNCT	12	punct
12	de	ADP	16	advmod
13	paso	NOUN	12	fixed
14	,	PUNCT	12	punct
15	el	DET	16	det
16	honor	NOUN	9	conj
17	de	ADP	19	case
18	su	DET	19	det
19	amante	NOUN	16	nmod
20	,	PUNCT	24	punct
21	lo	PRON	24	det
22	que	PRON	24	nsubj
23	lógicamente	ADV	24	advmod
24	cabreó	VERB	5	advcl
25	a	ADP	27	case
26	la	DET	27	det
27	artista	NOUN	24	obj
28	.	PUNCT	3	punct