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:
John Wichtrich, vicepresidente de la empresa Aventis FoodSciences, de Carolina del Norte, que desarrolló ese maíz transgénico, dijo que "una gran cantidad ya ha pasado al ciclo de los alimentos".
Postion	Tokenization
1	John
2	Wichtrich
3	,
4	vicepresidente
5	de
6	la
7	empresa
8	Aventis
9	FoodSciences
10	,
11	de
12	Carolina
13	del
14	Norte
15	,
16	que
17	desarrolló
18	ese
19	maíz
20	transgénico
21	,
22	dijo
23	que
24	"
25	una
26	gran
27	cantidad
28	ya
29	ha
30	pasado
31	al
32	ciclo
33	de
34	los
35	alimentos
36	"
37	.
Position	Tokenization	UPOS	Head	Deprel
1	John	PROPN	22	nsubj
2	Wichtrich	PROPN	1	flat
3	,	PUNCT	4	punct
4	vicepresidente	NOUN	1	appos
5	de	ADP	7	case
6	la	DET	7	det
7	empresa	NOUN	4	nmod
8	Aventis	PROPN	7	appos
9	FoodSciences	PROPN	8	flat
10	,	PUNCT	12	punct
11	de	ADP	12	case
12	Carolina	PROPN	7	nmod
13	del	ADP	14	case
14	Norte	PROPN	12	flat
15	,	PUNCT	12	punct
16	que	PRON	17	nsubj
17	desarrolló	VERB	7	acl
18	ese	DET	19	det
19	maíz	NOUN	17	obj
20	transgénico	ADJ	19	amod
21	,	PUNCT	4	punct
22	dijo	VERB	0	root
23	que	SCONJ	30	mark
24	"	PUNCT	30	punct
25	una	DET	27	det
26	gran	ADJ	27	amod
27	cantidad	NOUN	30	nsubj
28	ya	ADV	30	advmod
29	ha	AUX	30	aux
30	pasado	VERB	22	ccomp
31	al	ADP	32	case
32	ciclo	NOUN	30	obl
33	de	ADP	35	case
34	los	DET	35	det
35	alimentos	NOUN	32	nmod
36	"	PUNCT	30	punct
37	.	PUNCT	22	punct