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:
Arambulet se prepara en la capital venezolana junto a su compatriota José Bonilla para el crucial combate frente a Gamboa, que se celebrará en la ciudad japonesa de Nagoya.
Postion	Tokenization
1	Arambulet
2	se
3	prepara
4	en
5	la
6	capital
7	venezolana
8	junto
9	a
10	su
11	compatriota
12	José
13	Bonilla
14	para
15	el
16	crucial
17	combate
18	frente
19	a
20	Gamboa
21	,
22	que
23	se
24	celebrará
25	en
26	la
27	ciudad
28	japonesa
29	de
30	Nagoya
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Arambulet	PROPN	3	nsubj
2	se	PRON	3	obj
3	prepara	VERB	0	root
4	en	ADP	6	case
5	la	DET	6	det
6	capital	NOUN	3	obl
7	venezolana	ADJ	6	amod
8	junto	ADJ	11	case
9	a	ADP	8	fixed
10	su	DET	11	det
11	compatriota	NOUN	3	obl
12	José	PROPN	11	appos
13	Bonilla	PROPN	12	flat
14	para	ADP	17	case
15	el	DET	17	det
16	crucial	ADJ	17	amod
17	combate	NOUN	3	obl
18	frente	NOUN	20	case
19	a	ADP	18	fixed
20	Gamboa	PROPN	17	nmod
21	,	PUNCT	24	punct
22	que	PRON	24	nsubj
23	se	PRON	24	expl:pass
24	celebrará	VERB	17	acl
25	en	ADP	27	case
26	la	DET	27	det
27	ciudad	NOUN	24	obl
28	japonesa	ADJ	27	amod
29	de	ADP	30	case
30	Nagoya	PROPN	27	nmod
31	.	PUNCT	3	punct