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:
De la cantidad total (871 millones de dólares) que la comunidad internacional aportará al plan de Colombia, España aportará 100 millones de dólares; Estados Unidos, entregará 250 millones; Noruega, 20 millones, y la ONU, 131 millones; mientras que Japón concederá 70 millones de dólares en fondos blandos.
Postion	Tokenization
1	De
2	la
3	cantidad
4	total
5	(
6	871
7	millones
8	de
9	dólares
10	)
11	que
12	la
13	comunidad
14	internacional
15	aportará
16	al
17	plan
18	de
19	Colombia
20	,
21	España
22	aportará
23	100
24	millones
25	de
26	dólares
27	;
28	Estados
29	Unidos
30	,
31	entregará
32	250
33	millones
34	;
35	Noruega
36	,
37	20
38	millones
39	,
40	y
41	la
42	ONU
43	,
44	131
45	millones
46	;
47	mientras
48	que
49	Japón
50	concederá
51	70
52	millones
53	de
54	dólares
55	en
56	fondos
57	blandos
58	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	3	case
2	la	DET	3	det
3	cantidad	NOUN	22	obj
4	total	ADJ	3	amod
5	(	PUNCT	7	punct
6	871	NUM	7	nummod
7	millones	NOUN	3	appos
8	de	ADP	9	case
9	dólares	NOUN	7	nmod
10	)	PUNCT	7	punct
11	que	PRON	15	obj
12	la	DET	13	det
13	comunidad	NOUN	15	nsubj
14	internacional	ADJ	13	amod
15	aportará	VERB	3	acl
16	al	ADP	17	case
17	plan	NOUN	15	obj
18	de	ADP	19	case
19	Colombia	PROPN	17	nmod
20	,	PUNCT	3	punct
21	España	PROPN	22	nsubj
22	aportará	VERB	47	parataxis
23	100	NUM	24	nummod
24	millones	NOUN	22	obj
25	de	ADP	26	case
26	dólares	NOUN	24	nmod
27	;	PUNCT	31	punct
28	Estados	PROPN	31	nsubj
29	Unidos	PROPN	28	flat
30	,	PUNCT	28	punct
31	entregará	VERB	22	advcl
32	250	NUM	33	nummod
33	millones	NOUN	31	obj
34	;	PUNCT	35	punct
35	Noruega	PROPN	22	obl
36	,	PUNCT	38	punct
37	20	NUM	38	nummod
38	millones	NOUN	35	appos
39	,	PUNCT	42	punct
40	y	CCONJ	42	cc
41	la	DET	42	det
42	ONU	PROPN	35	conj
43	,	PUNCT	42	punct
44	131	NUM	45	nummod
45	millones	NOUN	42	appos
46	;	PUNCT	47	punct
47	mientras	CCONJ	0	root
48	que	SCONJ	47	fixed
49	Japón	PROPN	50	nsubj
50	concederá	VERB	47	parataxis
51	70	NUM	52	nummod
52	millones	NOUN	50	obj
53	de	ADP	54	case
54	dólares	NOUN	52	nmod
55	en	ADP	56	case
56	fondos	NOUN	50	obl
57	blandos	ADJ	56	amod
58	.	PUNCT	47	punct