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:
"Con toda probabilidad, las minas matan más niños que soldados, y siguen matando mucho después del final de las guerras", reconoció Clinton en un acto en el que recordó que EEUU ha entregado, desde junio pasado, tres millones de dólares en equipo y ayuda para los trabajos de detección y desactivación.
Postion	Tokenization
1	"
2	Con
3	toda
4	probabilidad
5	,
6	las
7	minas
8	matan
9	más
10	niños
11	que
12	soldados
13	,
14	y
15	siguen
16	matando
17	mucho
18	después
19	del
20	final
21	de
22	las
23	guerras
24	"
25	,
26	reconoció
27	Clinton
28	en
29	un
30	acto
31	en
32	el
33	que
34	recordó
35	que
36	EEUU
37	ha
38	entregado
39	,
40	desde
41	junio
42	pasado
43	,
44	tres
45	millones
46	de
47	dólares
48	en
49	equipo
50	y
51	ayuda
52	para
53	los
54	trabajos
55	de
56	detección
57	y
58	desactivación
59	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	Con	ADP	4	case
3	toda	DET	4	det
4	probabilidad	NOUN	8	obl
5	,	PUNCT	4	punct
6	las	DET	7	det
7	minas	NOUN	8	nsubj
8	matan	VERB	26	ccomp
9	más	ADV	10	advmod
10	niños	NOUN	8	obj
11	que	PRON	12	nmod
12	soldados	NOUN	10	nmod
13	,	PUNCT	15	punct
14	y	CCONJ	15	cc
15	siguen	VERB	8	conj
16	matando	VERB	15	xcomp
17	mucho	ADV	18	advmod
18	después	ADV	15	advmod
19	del	ADP	20	case
20	final	NOUN	18	obl
21	de	ADP	23	case
22	las	DET	23	det
23	guerras	NOUN	20	nmod
24	"	PUNCT	8	punct
25	,	PUNCT	8	punct
26	reconoció	VERB	0	root
27	Clinton	PROPN	26	nsubj
28	en	ADP	30	case
29	un	DET	30	det
30	acto	NOUN	26	obl
31	en	ADP	33	case
32	el	DET	33	det
33	que	PRON	34	obl
34	recordó	VERB	30	acl
35	que	SCONJ	38	mark
36	EEUU	PROPN	38	nsubj
37	ha	AUX	38	aux
38	entregado	VERB	34	ccomp
39	,	PUNCT	41	punct
40	desde	ADP	41	case
41	junio	NOUN	38	obl
42	pasado	ADJ	41	amod
43	,	PUNCT	41	punct
44	tres	NUM	45	nummod
45	millones	NOUN	38	obj
46	de	ADP	47	case
47	dólares	NOUN	45	nmod
48	en	ADP	49	case
49	equipo	NOUN	45	nmod
50	y	CCONJ	51	cc
51	ayuda	NOUN	49	conj
52	para	ADP	54	case
53	los	DET	54	det
54	trabajos	NOUN	51	nmod
55	de	ADP	56	case
56	detección	NOUN	54	nmod
57	y	CCONJ	58	cc
58	desactivación	NOUN	56	conj
59	.	PUNCT	26	punct