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:
Y es que la derecha es así, toda la derecha política y económica tiene de la limpieza un concepto penitencial y detergente, revanchista y represivo.
Postion	Tokenization
1	Y
2	es
3	que
4	la
5	derecha
6	es
7	así
8	,
9	toda
10	la
11	derecha
12	política
13	y
14	económica
15	tiene
16	de
17	la
18	limpieza
19	un
20	concepto
21	penitencial
22	y
23	detergente
24	,
25	revanchista
26	y
27	represivo
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	2	advmod
2	es	AUX	0	root
3	que	SCONJ	7	mark
4	la	DET	5	det
5	derecha	NOUN	7	nsubj
6	es	AUX	7	cop
7	así	ADV	2	ccomp
8	,	PUNCT	2	punct
9	toda	DET	10	det
10	la	DET	11	det
11	derecha	NOUN	15	nsubj
12	política	ADJ	11	amod
13	y	CCONJ	14	cc
14	económica	ADJ	12	conj
15	tiene	VERB	2	advcl
16	de	ADP	18	case
17	la	DET	18	det
18	limpieza	NOUN	15	obl
19	un	DET	20	det
20	concepto	NOUN	15	obj
21	penitencial	ADJ	20	amod
22	y	CCONJ	23	cc
23	detergente	ADJ	21	conj
24	,	PUNCT	21	punct
25	revanchista	ADJ	21	amod
26	y	CCONJ	27	cc
27	represivo	ADJ	25	conj
28	.	PUNCT	2	punct