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:
Santos, que ocupó el cargo de delegado de Colombia ante la Organización Internacional del Café (OIC) durante ocho años, pidió a los caficultores no crearse falsas expectativas sobre los efectos de las heladas en Brasil y persistir en el empeño de mejorar la productividad y la eficiencia de sus fincas.
Postion	Tokenization
1	Santos
2	,
3	que
4	ocupó
5	el
6	cargo
7	de
8	delegado
9	de
10	Colombia
11	ante
12	la
13	Organización
14	Internacional
15	del
16	Café
17	(
18	OIC
19	)
20	durante
21	ocho
22	años
23	,
24	pidió
25	a
26	los
27	caficultores
28	no
29	crearse
30	crear
31	se
32	falsas
33	expectativas
34	sobre
35	los
36	efectos
37	de
38	las
39	heladas
40	en
41	Brasil
42	y
43	persistir
44	en
45	el
46	empeño
47	de
48	mejorar
49	la
50	productividad
51	y
52	la
53	eficiencia
54	de
55	sus
56	fincas
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Santos	PROPN	24	nsubj
2	,	PUNCT	4	punct
3	que	PRON	4	nsubj
4	ocupó	VERB	1	acl
5	el	DET	6	det
6	cargo	NOUN	4	obj
7	de	ADP	8	case
8	delegado	NOUN	6	nmod
9	de	ADP	10	case
10	Colombia	PROPN	8	nmod
11	ante	ADP	13	case
12	la	DET	13	det
13	Organización	PROPN	4	obl
14	Internacional	PROPN	13	flat
15	del	ADP	16	case
16	Café	PROPN	13	flat
17	(	PUNCT	18	punct
18	OIC	PROPN	13	flat
19	)	PUNCT	18	punct
20	durante	ADP	22	case
21	ocho	NUM	22	nummod
22	años	NOUN	4	obl
23	,	PUNCT	4	punct
24	pidió	VERB	0	root
25	a	ADP	27	case
26	los	DET	27	det
27	caficultores	NOUN	24	iobj
28	no	ADV	29	advmod
29	crearse	_	None	_
30	crear	VERB	24	xcomp
31	se	PRON	29	expl:pass
32	falsas	ADJ	32	amod
33	expectativas	NOUN	29	obj
34	sobre	ADP	35	case
35	los	DET	35	det
36	efectos	NOUN	32	nmod
37	de	ADP	38	case
38	las	DET	38	det
39	heladas	NOUN	35	nmod
40	en	ADP	40	case
41	Brasil	PROPN	38	nmod
42	y	CCONJ	42	cc
43	persistir	VERB	29	conj
44	en	ADP	45	case
45	el	DET	45	det
46	empeño	NOUN	42	obj
47	de	ADP	47	mark
48	mejorar	VERB	45	acl
49	la	DET	49	det
50	productividad	NOUN	47	obj
51	y	CCONJ	52	cc
52	la	DET	52	det
53	eficiencia	NOUN	49	conj
54	de	ADP	55	case
55	sus	DET	55	det
56	fincas	NOUN	49	nmod
57	.	PUNCT	24	punct