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:
Sólo durante el último trimestre de 1999, las minas antipersonas mataron a 78 personas en Vietnam e hirieron a 138 según la prensa vietnamita, agregó la organización.
Postion	Tokenization
1	Sólo
2	durante
3	el
4	último
5	trimestre
6	de
7	1999
8	,
9	las
10	minas
11	antipersonas
12	mataron
13	a
14	78
15	personas
16	en
17	Vietnam
18	e
19	hirieron
20	a
21	138
22	según
23	la
24	prensa
25	vietnamita
26	,
27	agregó
28	la
29	organización
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Sólo	ADV	12	advmod
2	durante	ADP	1	case
3	el	DET	5	det
4	último	ADJ	5	amod
5	trimestre	NOUN	1	nmod
6	de	ADP	7	case
7	1999	NOUN	5	nmod
8	,	PUNCT	1	punct
9	las	DET	10	det
10	minas	NOUN	12	nsubj
11	antipersonas	ADJ	10	amod
12	mataron	VERB	27	ccomp
13	a	ADP	15	case
14	78	NUM	15	nummod
15	personas	NOUN	12	obj
16	en	ADP	17	case
17	Vietnam	PROPN	12	obl
18	e	CCONJ	19	cc
19	hirieron	VERB	12	conj
20	a	ADP	21	case
21	138	NUM	19	obj
22	según	ADP	24	case
23	la	DET	24	det
24	prensa	NOUN	12	obl
25	vietnamita	ADJ	24	amod
26	,	PUNCT	12	punct
27	agregó	VERB	0	root
28	la	DET	29	det
29	organización	NOUN	27	nsubj
30	.	PUNCT	27	punct