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 empresa Kellogs, fabricante de cereales para el desayuno, ha cerrado su planta de producción de Michigan porque no ha podido abastecerse de maíz con la seguridad de que no contiene una variedad transgénica vetada para el uso humano, informaron fuentes de la industria.
Postion	Tokenization
1	La
2	empresa
3	Kellogs
4	,
5	fabricante
6	de
7	cereales
8	para
9	el
10	desayuno
11	,
12	ha
13	cerrado
14	su
15	planta
16	de
17	producción
18	de
19	Michigan
20	porque
21	no
22	ha
23	podido
24	abastecerse
25	abastecer
26	se
27	de
28	maíz
29	con
30	la
31	seguridad
32	de
33	que
34	no
35	contiene
36	una
37	variedad
38	transgénica
39	vetada
40	para
41	el
42	uso
43	humano
44	,
45	informaron
46	fuentes
47	de
48	la
49	industria
50	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	empresa	NOUN	13	nsubj
3	Kellogs	PROPN	2	appos
4	,	PUNCT	5	punct
5	fabricante	NOUN	2	appos
6	de	ADP	7	case
7	cereales	NOUN	5	nmod
8	para	ADP	10	case
9	el	DET	10	det
10	desayuno	NOUN	7	nmod
11	,	PUNCT	5	punct
12	ha	AUX	13	aux
13	cerrado	VERB	44	ccomp
14	su	DET	15	det
15	planta	NOUN	13	obj
16	de	ADP	17	case
17	producción	NOUN	15	nmod
18	de	ADP	19	case
19	Michigan	PROPN	15	nmod
20	porque	SCONJ	24	mark
21	no	ADV	24	advmod
22	ha	AUX	24	aux
23	podido	AUX	24	aux
24	abastecerse	_	None	_
25	abastecer	VERB	13	advcl
26	se	PRON	24	iobj
27	de	ADP	27	case
28	maíz	NOUN	24	obj
29	con	ADP	30	case
30	la	DET	30	det
31	seguridad	NOUN	24	obl
32	de	ADP	34	mark
33	que	SCONJ	34	mark
34	no	ADV	34	advmod
35	contiene	VERB	30	acl
36	una	DET	36	det
37	variedad	NOUN	34	obj
38	transgénica	ADJ	36	amod
39	vetada	ADJ	36	amod
40	para	ADP	41	case
41	el	DET	41	det
42	uso	NOUN	38	obl
43	humano	ADJ	41	amod
44	,	PUNCT	13	punct
45	informaron	VERB	0	root
46	fuentes	NOUN	44	nsubj
47	de	ADP	48	case
48	la	DET	48	det
49	industria	NOUN	45	nmod
50	.	PUNCT	44	punct