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:
El problema está en el uso de una variedad de maíz transgénico, conocida como StarLink, que no se ha aprobado para el consumo humano debido a que puede causar reacciones alérgicas.
Postion	Tokenization
1	El
2	problema
3	está
4	en
5	el
6	uso
7	de
8	una
9	variedad
10	de
11	maíz
12	transgénico
13	,
14	conocida
15	como
16	StarLink
17	,
18	que
19	no
20	se
21	ha
22	aprobado
23	para
24	el
25	consumo
26	humano
27	debido
28	a
29	que
30	puede
31	causar
32	reacciones
33	alérgicas
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	problema	NOUN	6	nsubj
3	está	AUX	6	cop
4	en	ADP	6	case
5	el	DET	6	det
6	uso	NOUN	0	root
7	de	ADP	9	case
8	una	DET	9	det
9	variedad	NOUN	6	nmod
10	de	ADP	11	case
11	maíz	NOUN	9	nmod
12	transgénico	ADJ	11	amod
13	,	PUNCT	14	punct
14	conocida	ADJ	9	amod
15	como	SCONJ	16	mark
16	StarLink	PROPN	14	obj
17	,	PUNCT	14	punct
18	que	PRON	22	nsubj
19	no	ADV	22	advmod
20	se	PRON	22	expl:pass
21	ha	AUX	22	aux
22	aprobado	VERB	9	acl
23	para	ADP	25	case
24	el	DET	25	det
25	consumo	NOUN	22	obl
26	humano	ADJ	25	amod
27	debido	ADJ	31	mark
28	a	ADP	27	fixed
29	que	SCONJ	31	mark
30	puede	AUX	31	aux
31	causar	VERB	22	advcl
32	reacciones	NOUN	31	obj
33	alérgicas	ADJ	32	amod
34	.	PUNCT	6	punct