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:
En ese mundo, difamado y ensalzado, envidiado y abolido, las editoras eran Beatriz de Moura, Esther Tusquets y Rosa Regás.
Postion	Tokenization
1	En
2	ese
3	mundo
4	,
5	difamado
6	y
7	ensalzado
8	,
9	envidiado
10	y
11	abolido
12	,
13	las
14	editoras
15	eran
16	Beatriz
17	de
18	Moura
19	,
20	Esther
21	Tusquets
22	y
23	Rosa
24	Regás
25	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	ese	DET	3	det
3	mundo	NOUN	16	obl
4	,	PUNCT	5	punct
5	difamado	ADJ	3	amod
6	y	CCONJ	7	cc
7	ensalzado	ADJ	5	conj
8	,	PUNCT	5	punct
9	envidiado	ADJ	5	advmod
10	y	CCONJ	11	cc
11	abolido	ADJ	9	conj
12	,	PUNCT	5	punct
13	las	DET	14	det
14	editoras	NOUN	16	nsubj
15	eran	AUX	16	cop
16	Beatriz	PROPN	0	root
17	de	ADP	18	case
18	Moura	PROPN	16	flat
19	,	PUNCT	20	punct
20	Esther	PROPN	16	conj
21	Tusquets	PROPN	20	flat
22	y	CCONJ	23	cc
23	Rosa	PROPN	16	conj
24	Regás	PROPN	23	flat
25	.	PUNCT	16	punct