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:
Un año más tarde, los militares estadounidenses estaban dispuestos a lanzar sobre el Japón las 275.000 bombas botulímicas y el millón de bacterias de carbunco que producían mensualmente.
Postion	Tokenization
1	Un
2	año
3	más
4	tarde
5	,
6	los
7	militares
8	estadounidenses
9	estaban
10	dispuestos
11	a
12	lanzar
13	sobre
14	el
15	Japón
16	las
17	275.000
18	bombas
19	botulímicas
20	y
21	el
22	millón
23	de
24	bacterias
25	de
26	carbunco
27	que
28	producían
29	mensualmente
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	año	NOUN	10	obl
3	más	ADV	4	advmod
4	tarde	ADV	2	advmod
5	,	PUNCT	2	punct
6	los	DET	7	det
7	militares	NOUN	10	nsubj
8	estadounidenses	ADJ	7	amod
9	estaban	AUX	10	cop
10	dispuestos	ADJ	0	root
11	a	ADP	12	mark
12	lanzar	VERB	10	xcomp
13	sobre	ADP	15	case
14	el	DET	15	det
15	Japón	PROPN	12	obl
16	las	DET	17	det
17	275.000	NUM	18	nummod
18	bombas	NOUN	12	obj
19	botulímicas	ADJ	18	amod
20	y	CCONJ	22	cc
21	el	DET	22	det
22	millón	NOUN	18	conj
23	de	ADP	24	case
24	bacterias	NOUN	22	nmod
25	de	ADP	26	case
26	carbunco	NOUN	24	nmod
27	que	PRON	28	obj
28	producían	VERB	22	acl
29	mensualmente	ADV	28	advmod
30	.	PUNCT	10	punct