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 destaca el extremo zurdo David González, fichado de un equipo australiano y que ocupa plaza de extranjero a pesar de haber nacido en Santander.
Postion	Tokenization
1	También
2	destaca
3	el
4	extremo
5	zurdo
6	David
7	González
8	,
9	fichado
10	de
11	un
12	equipo
13	australiano
14	y
15	que
16	ocupa
17	plaza
18	de
19	extranjero
20	a
21	pesar
22	de
23	haber
24	nacido
25	en
26	Santander
27	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	2	advmod
2	destaca	VERB	0	root
3	el	DET	4	det
4	extremo	NOUN	2	nsubj
5	zurdo	ADJ	4	amod
6	David	PROPN	4	appos
7	González	PROPN	6	flat
8	,	PUNCT	9	punct
9	fichado	ADJ	4	amod
10	de	ADP	12	case
11	un	DET	12	det
12	equipo	NOUN	9	obl
13	australiano	ADJ	12	amod
14	y	CCONJ	16	cc
15	que	PRON	16	nsubj
16	ocupa	VERB	9	conj
17	plaza	NOUN	16	obj
18	de	ADP	19	case
19	extranjero	NOUN	17	nmod
20	a	ADP	24	mark
21	pesar	NOUN	20	fixed
22	de	ADP	20	fixed
23	haber	AUX	24	aux
24	nacido	VERB	16	advcl
25	en	ADP	26	case
26	Santander	PROPN	24	obl
27	.	PUNCT	2	punct