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 acuerdo con dicho informe, las ventas externas de café brasileño cayeron de 1.851.110 sacas de 60 kilos cada una en febrero de 1999 a 1.324.000 sacas en el mismo mes de este año, en tanto que los ingresos por las ventas del grano cayeron de 207,5 millones de dólares a 156,2 millones en el mismo período.
Postion	Tokenization
1	De
2	acuerdo
3	con
4	dicho
5	informe
6	,
7	las
8	ventas
9	externas
10	de
11	café
12	brasileño
13	cayeron
14	de
15	1.851.110
16	sacas
17	de
18	60
19	kilos
20	cada
21	una
22	en
23	febrero
24	de
25	1999
26	a
27	1.324.000
28	sacas
29	en
30	el
31	mismo
32	mes
33	de
34	este
35	año
36	,
37	en
38	tanto
39	que
40	los
41	ingresos
42	por
43	las
44	ventas
45	del
46	grano
47	cayeron
48	de
49	207,5
50	millones
51	de
52	dólares
53	a
54	156,2
55	millones
56	en
57	el
58	mismo
59	período
60	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	5	case
2	acuerdo	NOUN	1	fixed
3	con	ADP	1	fixed
4	dicho	ADJ	5	amod
5	informe	NOUN	13	obl
6	,	PUNCT	5	punct
7	las	DET	8	det
8	ventas	NOUN	13	nsubj
9	externas	ADJ	8	amod
10	de	ADP	11	case
11	café	NOUN	8	nmod
12	brasileño	ADJ	11	amod
13	cayeron	VERB	37	parataxis
14	de	ADP	16	case
15	1.851.110	NUM	16	nummod
16	sacas	NOUN	13	obl
17	de	ADP	19	case
18	60	NUM	19	nummod
19	kilos	NOUN	21	nmod
20	cada	DET	21	det
21	una	PRON	16	appos
22	en	ADP	23	case
23	febrero	NOUN	16	nmod
24	de	ADP	25	case
25	1999	NUM	23	compound
26	a	ADP	28	case
27	1.324.000	NUM	28	nummod
28	sacas	NOUN	13	obl
29	en	ADP	32	case
30	el	DET	32	det
31	mismo	DET	30	det
32	mes	NOUN	28	nmod
33	de	ADP	35	case
34	este	DET	35	det
35	año	NOUN	32	nmod
36	,	PUNCT	37	punct
37	en	ADP	0	root
38	tanto	NOUN	37	fixed
39	que	SCONJ	37	fixed
40	los	DET	41	det
41	ingresos	NOUN	47	nsubj
42	por	ADP	44	case
43	las	DET	44	det
44	ventas	NOUN	41	nmod
45	del	ADP	46	case
46	grano	NOUN	44	nmod
47	cayeron	VERB	37	parataxis
48	de	ADP	50	case
49	207,5	NUM	50	nummod
50	millones	NOUN	47	obl
51	de	ADP	52	case
52	dólares	NOUN	50	nmod
53	a	ADP	55	case
54	156,2	NUM	55	nummod
55	millones	NOUN	47	obl
56	en	ADP	59	case
57	el	DET	59	det
58	mismo	DET	57	det
59	período	NOUN	55	nmod
60	.	PUNCT	37	punct