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:
Sus guiños a Rosalía de Castro, Alvaro Cunqueiro y Federico García Lorca pasan por el filtro de una austeridad expresiva de riguroso acabado técnico.
Postion	Tokenization
1	Sus
2	guiños
3	a
4	Rosalía
5	de
6	Castro
7	,
8	Alvaro
9	Cunqueiro
10	y
11	Federico
12	García
13	Lorca
14	pasan
15	por
16	el
17	filtro
18	de
19	una
20	austeridad
21	expresiva
22	de
23	riguroso
24	acabado
25	técnico
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Sus	DET	2	det
2	guiños	NOUN	14	nsubj
3	a	ADP	4	case
4	Rosalía	PROPN	2	nmod
5	de	ADP	6	case
6	Castro	PROPN	4	flat
7	,	PUNCT	8	punct
8	Alvaro	PROPN	4	conj
9	Cunqueiro	PROPN	8	flat
10	y	CCONJ	11	cc
11	Federico	PROPN	4	conj
12	García	PROPN	11	flat
13	Lorca	PROPN	11	flat
14	pasan	VERB	0	root
15	por	ADP	17	case
16	el	DET	17	det
17	filtro	NOUN	14	obj
18	de	ADP	20	case
19	una	DET	20	det
20	austeridad	NOUN	17	nmod
21	expresiva	ADJ	20	amod
22	de	ADP	24	case
23	riguroso	ADJ	24	amod
24	acabado	NOUN	17	nmod
25	técnico	ADJ	24	amod
26	.	PUNCT	14	punct