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:
Se ve que la señora Aguirre, prototipo rubioceniza y pequeño chanel de la derecha global que nos rodea por todas partes, entiende la limpieza como un holocausto.
Postion	Tokenization
1	Se
2	ve
3	que
4	la
5	señora
6	Aguirre
7	,
8	prototipo
9	rubioceniza
10	y
11	pequeño
12	chanel
13	de
14	la
15	derecha
16	global
17	que
18	nos
19	rodea
20	por
21	todas
22	partes
23	,
24	entiende
25	la
26	limpieza
27	como
28	un
29	holocausto
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:pass
2	ve	VERB	0	root
3	que	SCONJ	24	mark
4	la	DET	5	det
5	señora	NOUN	24	nsubj
6	Aguirre	PROPN	5	appos
7	,	PUNCT	8	punct
8	prototipo	NOUN	5	appos
9	rubioceniza	ADJ	8	amod
10	y	CCONJ	12	cc
11	pequeño	ADJ	12	amod
12	chanel	NOUN	8	conj
13	de	ADP	15	case
14	la	DET	15	det
15	derecha	NOUN	8	nmod
16	global	ADJ	15	amod
17	que	PRON	19	nsubj
18	nos	PRON	19	obj
19	rodea	VERB	15	acl
20	por	ADP	22	case
21	todas	DET	22	det
22	partes	NOUN	19	obl
23	,	PUNCT	8	punct
24	entiende	VERB	2	csubj
25	la	DET	26	det
26	limpieza	NOUN	24	obj
27	como	SCONJ	29	mark
28	un	DET	29	det
29	holocausto	NOUN	24	obl
30	.	PUNCT	2	punct