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:
Se calcula que en suelo vietnamita hay unos 3,5 millones de minas y unas 300.000 toneladas de explosivos sin detonar, provenientes de los dos bandos que participaron en el conflicto.
Postion	Tokenization
1	Se
2	calcula
3	que
4	en
5	suelo
6	vietnamita
7	hay
8	unos
9	3,5
10	millones
11	de
12	minas
13	y
14	unas
15	300.000
16	toneladas
17	de
18	explosivos
19	sin
20	detonar
21	,
22	provenientes
23	de
24	los
25	dos
26	bandos
27	que
28	participaron
29	en
30	el
31	conflicto
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:pass
2	calcula	VERB	0	root
3	que	SCONJ	7	mark
4	en	ADP	5	case
5	suelo	NOUN	7	obl
6	vietnamita	ADJ	5	amod
7	hay	AUX	2	ccomp
8	unos	PRON	9	nmod
9	3,5	NUM	10	nummod
10	millones	NOUN	7	obj
11	de	ADP	12	case
12	minas	NOUN	10	nmod
13	y	CCONJ	16	cc
14	unas	PRON	15	nmod
15	300.000	NUM	16	nummod
16	toneladas	NOUN	10	conj
17	de	ADP	18	case
18	explosivos	NOUN	16	nmod
19	sin	ADP	20	mark
20	detonar	VERB	18	acl
21	,	PUNCT	22	punct
22	provenientes	ADJ	18	amod
23	de	ADP	26	case
24	los	DET	26	det
25	dos	NUM	24	nummod
26	bandos	NOUN	22	nmod
27	que	PRON	28	nsubj
28	participaron	VERB	26	acl
29	en	ADP	31	case
30	el	DET	31	det
31	conflicto	NOUN	28	obj
32	.	PUNCT	2	punct