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:
Cinco puntos es la ventaja que tiene el Deportivo sobre Real Madrid y Barcelona, mientras que el Zaragoza, cuarto clasificado, está a seis del conjunto gallego.
Postion	Tokenization
1	Cinco
2	puntos
3	es
4	la
5	ventaja
6	que
7	tiene
8	el
9	Deportivo
10	sobre
11	Real
12	Madrid
13	y
14	Barcelona
15	,
16	mientras
17	que
18	el
19	Zaragoza
20	,
21	cuarto
22	clasificado
23	,
24	está
25	a
26	seis
27	del
28	conjunto
29	gallego
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Cinco	NUM	2	nummod
2	puntos	NOUN	5	nsubj
3	es	AUX	5	cop
4	la	DET	5	det
5	ventaja	NOUN	16	parataxis
6	que	PRON	7	obj
7	tiene	VERB	5	acl
8	el	DET	9	det
9	Deportivo	PROPN	7	nsubj
10	sobre	ADP	11	case
11	Real	PROPN	5	nmod
12	Madrid	PROPN	11	flat
13	y	CCONJ	14	cc
14	Barcelona	PROPN	11	conj
15	,	PUNCT	16	punct
16	mientras	CCONJ	0	root
17	que	SCONJ	16	fixed
18	el	DET	19	det
19	Zaragoza	PROPN	26	nsubj
20	,	PUNCT	21	punct
21	cuarto	NOUN	19	appos
22	clasificado	ADJ	21	amod
23	,	PUNCT	21	punct
24	está	AUX	26	cop
25	a	ADP	26	case
26	seis	NUM	16	parataxis
27	del	ADP	28	case
28	conjunto	NOUN	26	nmod
29	gallego	ADJ	28	amod
30	.	PUNCT	16	punct