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:
La semana anterior, en los estados cafetaleros de Paraná y Sao Paulo, y en el Estado de Minas Gerais, se registraron fuertes heladas que ocasionaron daños a las plantaciones, aunque sobre su efecto y cuantificación aún no hay informaciones precisas.
Postion	Tokenization
1	La
2	semana
3	anterior
4	,
5	en
6	los
7	estados
8	cafetaleros
9	de
10	Paraná
11	y
12	Sao
13	Paulo
14	,
15	y
16	en
17	el
18	Estado
19	de
20	Minas
21	Gerais
22	,
23	se
24	registraron
25	fuertes
26	heladas
27	que
28	ocasionaron
29	daños
30	a
31	las
32	plantaciones
33	,
34	aunque
35	sobre
36	su
37	efecto
38	y
39	cuantificación
40	aún
41	no
42	hay
43	informaciones
44	precisas
45	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	semana	NOUN	24	obl
3	anterior	ADJ	2	amod
4	,	PUNCT	7	punct
5	en	ADP	7	case
6	los	DET	7	det
7	estados	NOUN	24	obl
8	cafetaleros	ADJ	7	amod
9	de	ADP	10	case
10	Paraná	PROPN	7	nmod
11	y	CCONJ	12	cc
12	Sao	PROPN	10	conj
13	Paulo	PROPN	12	flat
14	,	PUNCT	18	punct
15	y	CCONJ	18	cc
16	en	ADP	18	case
17	el	DET	18	det
18	Estado	PROPN	7	conj
19	de	ADP	20	case
20	Minas	PROPN	18	flat
21	Gerais	PROPN	20	flat
22	,	PUNCT	7	punct
23	se	PRON	24	expl:pass
24	registraron	VERB	0	root
25	fuertes	ADJ	26	amod
26	heladas	NOUN	24	nsubj
27	que	PRON	28	nsubj
28	ocasionaron	VERB	26	acl
29	daños	NOUN	28	obj
30	a	ADP	32	case
31	las	DET	32	det
32	plantaciones	NOUN	28	obl
33	,	PUNCT	42	punct
34	aunque	SCONJ	42	mark
35	sobre	ADP	37	case
36	su	DET	37	det
37	efecto	NOUN	42	obl
38	y	CCONJ	39	cc
39	cuantificación	NOUN	37	conj
40	aún	ADV	42	advmod
41	no	ADV	42	advmod
42	hay	AUX	24	advcl
43	informaciones	NOUN	42	obj
44	precisas	ADJ	43	amod
45	.	PUNCT	24	punct