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:
Desde la apertura de estos procesos el 5 de junio, el Tribunal Militar ha juzgado a 575 EX milicianos del Ejército del Sur del Líbano (ELS).
Postion	Tokenization
1	Desde
2	la
3	apertura
4	de
5	estos
6	procesos
7	el
8	5
9	de
10	junio
11	,
12	el
13	Tribunal
14	Militar
15	ha
16	juzgado
17	a
18	575
19	EX
20	milicianos
21	del
22	Ejército
23	del
24	Sur
25	del
26	Líbano
27	(
28	ELS
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	3	case
2	la	DET	3	det
3	apertura	NOUN	16	obl
4	de	ADP	6	case
5	estos	DET	6	det
6	procesos	NOUN	3	nmod
7	el	DET	8	det
8	5	NUM	3	appos
9	de	ADP	10	case
10	junio	NOUN	8	compound
11	,	PUNCT	3	punct
12	el	DET	13	det
13	Tribunal	PROPN	16	nsubj
14	Militar	PROPN	13	flat
15	ha	AUX	16	aux
16	juzgado	VERB	0	root
17	a	ADP	20	case
18	575	NUM	20	nummod
19	EX	ADJ	20	amod
20	milicianos	NOUN	16	obj
21	del	ADP	22	case
22	Ejército	PROPN	20	nmod
23	del	ADP	24	case
24	Sur	PROPN	22	flat
25	del	ADP	26	case
26	Líbano	PROPN	22	flat
27	(	PUNCT	28	punct
28	ELS	PROPN	22	flat
29	)	PUNCT	28	punct
30	.	PUNCT	16	punct