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:
También quiso puntualizar ayer las críticas a la afición del Espanyol que hizo antes y después del partido de vuelta de la Supercopa frente al Deportivo.
Postion	Tokenization
1	También
2	quiso
3	puntualizar
4	ayer
5	las
6	críticas
7	a
8	la
9	afición
10	del
11	Espanyol
12	que
13	hizo
14	antes
15	y
16	después
17	del
18	partido
19	de
20	vuelta
21	de
22	la
23	Supercopa
24	frente
25	al
26	Deportivo
27	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	2	advmod
2	quiso	VERB	0	root
3	puntualizar	VERB	2	xcomp
4	ayer	ADV	3	advmod
5	las	DET	6	det
6	críticas	NOUN	3	obj
7	a	ADP	9	case
8	la	DET	9	det
9	afición	NOUN	6	nmod
10	del	ADP	11	case
11	Espanyol	PROPN	9	nmod
12	que	PRON	13	obj
13	hizo	VERB	6	acl
14	antes	ADV	13	advmod
15	y	CCONJ	16	cc
16	después	ADV	14	conj
17	del	ADP	18	case
18	partido	NOUN	14	obl
19	de	ADP	20	case
20	vuelta	NOUN	18	nmod
21	de	ADP	23	case
22	la	DET	23	det
23	Supercopa	PROPN	18	nmod
24	frente	NOUN	26	case
25	al	ADP	24	fixed
26	Deportivo	PROPN	18	nmod
27	.	PUNCT	2	punct