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:
La primera sesión para destruir las minas antipersonales será presenciada por el primer ministro Keizo Obuchi el próximo Lunes a través de monitores instalados en una base militar en Shiga, al oeste de Japón.
Postion	Tokenization
1	La
2	primera
3	sesión
4	para
5	destruir
6	las
7	minas
8	antipersonales
9	será
10	presenciada
11	por
12	el
13	primer
14	ministro
15	Keizo
16	Obuchi
17	el
18	próximo
19	Lunes
20	a
21	través
22	de
23	monitores
24	instalados
25	en
26	una
27	base
28	militar
29	en
30	Shiga
31	,
32	al
33	oeste
34	de
35	Japón
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	primera	ADJ	3	amod
3	sesión	NOUN	10	nsubj
4	para	ADP	5	mark
5	destruir	VERB	3	acl
6	las	DET	7	det
7	minas	NOUN	5	obj
8	antipersonales	ADJ	7	amod
9	será	AUX	10	aux
10	presenciada	VERB	0	root
11	por	ADP	14	case
12	el	DET	14	det
13	primer	ADJ	14	amod
14	ministro	NOUN	10	obj
15	Keizo	PROPN	14	appos
16	Obuchi	PROPN	15	flat
17	el	DET	19	det
18	próximo	ADJ	19	amod
19	Lunes	NOUN	10	obl
20	a	ADP	23	case
21	través	NOUN	20	fixed
22	de	ADP	20	fixed
23	monitores	NOUN	10	obl
24	instalados	ADJ	23	amod
25	en	ADP	27	case
26	una	DET	27	det
27	base	NOUN	24	obl
28	militar	ADJ	27	amod
29	en	ADP	30	case
30	Shiga	PROPN	27	nmod
31	,	PUNCT	33	punct
32	al	ADP	33	case
33	oeste	NOUN	27	nmod
34	de	ADP	35	case
35	Japón	PROPN	33	nmod
36	.	PUNCT	10	punct