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 ministro cubano afirmó que "los familiares reclaman justicia" y que "la comunidad internacional aprecia que existen todas las pruebas para juzgar a estos asesinos de personas civiles inocentes".
Postion	Tokenization
1	El
2	ministro
3	cubano
4	afirmó
5	que
6	"
7	los
8	familiares
9	reclaman
10	justicia
11	"
12	y
13	que
14	"
15	la
16	comunidad
17	internacional
18	aprecia
19	que
20	existen
21	todas
22	las
23	pruebas
24	para
25	juzgar
26	a
27	estos
28	asesinos
29	de
30	personas
31	civiles
32	inocentes
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ministro	NOUN	4	nsubj
3	cubano	ADJ	2	amod
4	afirmó	VERB	0	root
5	que	SCONJ	9	mark
6	"	PUNCT	9	punct
7	los	DET	8	det
8	familiares	NOUN	9	nsubj
9	reclaman	VERB	4	ccomp
10	justicia	NOUN	9	obj
11	"	PUNCT	18	punct
12	y	CCONJ	18	cc
13	que	SCONJ	18	mark
14	"	PUNCT	18	punct
15	la	DET	16	det
16	comunidad	NOUN	18	nsubj
17	internacional	ADJ	16	amod
18	aprecia	VERB	9	conj
19	que	SCONJ	20	mark
20	existen	VERB	18	ccomp
21	todas	DET	22	det
22	las	DET	23	det
23	pruebas	NOUN	20	nsubj
24	para	ADP	25	mark
25	juzgar	VERB	23	acl
26	a	ADP	28	case
27	estos	DET	28	det
28	asesinos	NOUN	25	obj
29	de	ADP	30	case
30	personas	NOUN	28	nmod
31	civiles	ADJ	30	amod
32	inocentes	ADJ	30	amod
33	"	PUNCT	18	punct
34	.	PUNCT	4	punct