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 sus seis temporadas como españolista, Toni no defendió la portería justo en las dos veces en la que el equipo blanquiazul consiguió derrotar al Barcelona.
Postion	Tokenization
1	En
2	sus
3	seis
4	temporadas
5	como
6	españolista
7	,
8	Toni
9	no
10	defendió
11	la
12	portería
13	justo
14	en
15	las
16	dos
17	veces
18	en
19	la
20	que
21	el
22	equipo
23	blanquiazul
24	consiguió
25	derrotar
26	al
27	Barcelona
28	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	sus	DET	4	det
3	seis	NUM	2	nummod
4	temporadas	NOUN	10	obl
5	como	SCONJ	6	mark
6	españolista	NOUN	4	nmod
7	,	PUNCT	4	punct
8	Toni	PROPN	10	nsubj
9	no	ADV	10	advmod
10	defendió	VERB	0	root
11	la	DET	12	det
12	portería	NOUN	10	obj
13	justo	ADV	10	advmod
14	en	ADP	13	case
15	las	DET	17	det
16	dos	NUM	15	nummod
17	veces	NOUN	13	nmod
18	en	ADP	20	case
19	la	DET	20	det
20	que	PRON	24	obl
21	el	DET	22	det
22	equipo	NOUN	24	nsubj
23	blanquiazul	ADJ	22	amod
24	consiguió	VERB	17	acl
25	derrotar	VERB	24	xcomp
26	al	ADP	27	case
27	Barcelona	PROPN	25	obj
28	.	PUNCT	10	punct