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:
Cervantes, Shakespeare, Goethe, Tolstoi y tal vez Balzac a pesar de sus manías aristocráticas porque las pagó en vida crudelísimamente.
Postion	Tokenization
1	Cervantes
2	,
3	Shakespeare
4	,
5	Goethe
6	,
7	Tolstoi
8	y
9	tal
10	vez
11	Balzac
12	a
13	pesar
14	de
15	sus
16	manías
17	aristocráticas
18	porque
19	las
20	pagó
21	en
22	vida
23	crudelísimamente
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Cervantes	PROPN	20	iobj
2	,	PUNCT	3	punct
3	Shakespeare	PROPN	1	conj
4	,	PUNCT	5	punct
5	Goethe	PROPN	1	conj
6	,	PUNCT	7	punct
7	Tolstoi	PROPN	1	conj
8	y	CCONJ	11	cc
9	tal	NOUN	11	advmod
10	vez	NOUN	9	fixed
11	Balzac	PROPN	1	conj
12	a	ADP	16	case
13	pesar	NOUN	12	fixed
14	de	ADP	12	fixed
15	sus	DET	16	det
16	manías	NOUN	11	nmod
17	aristocráticas	ADJ	16	amod
18	porque	SCONJ	20	mark
19	las	PRON	20	obj
20	pagó	VERB	0	root
21	en	ADP	22	case
22	vida	NOUN	20	obl
23	crudelísimamente	ADV	20	advmod
24	.	PUNCT	20	punct