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:
El ex presidente ARGENTINO deberá comparecer el próximo 13 de julio ante el juez federal Jorge Urso por la venta ilegal de armas a Croacia y Ecuador.
Postion	Tokenization
1	El
2	ex
3	presidente
4	ARGENTINO
5	deberá
6	comparecer
7	el
8	próximo
9	13
10	de
11	julio
12	ante
13	el
14	juez
15	federal
16	Jorge
17	Urso
18	por
19	la
20	venta
21	ilegal
22	de
23	armas
24	a
25	Croacia
26	y
27	Ecuador
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	ex	ADJ	3	amod
3	presidente	NOUN	6	nsubj
4	ARGENTINO	ADJ	3	amod
5	deberá	AUX	6	aux
6	comparecer	VERB	0	root
7	el	DET	9	det
8	próximo	ADJ	9	amod
9	13	NUM	6	obl
10	de	ADP	11	case
11	julio	NOUN	9	compound
12	ante	ADP	14	case
13	el	DET	14	det
14	juez	NOUN	6	obl
15	federal	ADJ	14	amod
16	Jorge	PROPN	14	appos
17	Urso	PROPN	16	flat
18	por	ADP	20	case
19	la	DET	20	det
20	venta	NOUN	6	obl
21	ilegal	ADJ	20	amod
22	de	ADP	23	case
23	armas	NOUN	20	nmod
24	a	ADP	25	case
25	Croacia	PROPN	20	nmod
26	y	CCONJ	27	cc
27	Ecuador	PROPN	25	conj
28	.	PUNCT	6	punct