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:
Handicap International indicó que Estados Unidos, con 11,3 millones de minas antipersonas, posee el tercer arsenal mundial de este tipo de armas, después de China y Rusia.
Postion	Tokenization
1	Handicap
2	International
3	indicó
4	que
5	Estados
6	Unidos
7	,
8	con
9	11,3
10	millones
11	de
12	minas
13	antipersonas
14	,
15	posee
16	el
17	tercer
18	arsenal
19	mundial
20	de
21	este
22	tipo
23	de
24	armas
25	,
26	después
27	de
28	China
29	y
30	Rusia
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Handicap	PROPN	3	nsubj
2	International	PROPN	1	flat
3	indicó	VERB	0	root
4	que	SCONJ	15	mark
5	Estados	PROPN	15	nsubj
6	Unidos	PROPN	5	flat
7	,	PUNCT	10	punct
8	con	ADP	10	case
9	11,3	NUM	10	nummod
10	millones	NOUN	15	obl
11	de	ADP	12	case
12	minas	NOUN	10	nmod
13	antipersonas	ADJ	12	amod
14	,	PUNCT	10	punct
15	posee	VERB	3	ccomp
16	el	DET	18	det
17	tercer	ADJ	18	amod
18	arsenal	NOUN	15	obj
19	mundial	ADJ	18	amod
20	de	ADP	22	case
21	este	DET	22	det
22	tipo	NOUN	18	nmod
23	de	ADP	24	case
24	armas	NOUN	22	nmod
25	,	PUNCT	26	punct
26	después	ADV	15	advmod
27	de	ADP	28	case
28	China	PROPN	26	obl
29	y	CCONJ	30	cc
30	Rusia	PROPN	28	conj
31	.	PUNCT	3	punct