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 pasada Mission Foods, la mayor productora de tacos de Estados Unidos, ordenó la retirada del mercado de todos sus tacos, tortillas y "chips" e indicó que usará maíz blanco en lugar de amarillo, porque la harina podría contener una variedad de grano modificado genéticamente y no autorizada.
Postion	Tokenization
1	La
2	semana
3	pasada
4	Mission
5	Foods
6	,
7	la
8	mayor
9	productora
10	de
11	tacos
12	de
13	Estados
14	Unidos
15	,
16	ordenó
17	la
18	retirada
19	del
20	mercado
21	de
22	todos
23	sus
24	tacos
25	,
26	tortillas
27	y
28	"
29	chips
30	"
31	e
32	indicó
33	que
34	usará
35	maíz
36	blanco
37	en
38	lugar
39	de
40	amarillo
41	,
42	porque
43	la
44	harina
45	podría
46	contener
47	una
48	variedad
49	de
50	grano
51	modificado
52	genéticamente
53	y
54	no
55	autorizada
56	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	semana	NOUN	16	obl
3	pasada	ADJ	2	amod
4	Mission	PROPN	16	nsubj
5	Foods	PROPN	4	flat
6	,	PUNCT	9	punct
7	la	DET	9	det
8	mayor	ADJ	9	amod
9	productora	NOUN	4	appos
10	de	ADP	11	case
11	tacos	NOUN	9	nmod
12	de	ADP	13	case
13	Estados	PROPN	9	nmod
14	Unidos	PROPN	13	flat
15	,	PUNCT	9	punct
16	ordenó	VERB	0	root
17	la	DET	18	det
18	retirada	NOUN	16	obj
19	del	ADP	20	case
20	mercado	NOUN	18	nmod
21	de	ADP	24	case
22	todos	DET	23	det
23	sus	DET	24	det
24	tacos	NOUN	18	nmod
25	,	PUNCT	26	punct
26	tortillas	NOUN	24	appos
27	y	CCONJ	29	cc
28	"	PUNCT	29	punct
29	chips	NOUN	24	conj
30	"	PUNCT	29	punct
31	e	CCONJ	32	cc
32	indicó	VERB	16	conj
33	que	SCONJ	34	mark
34	usará	VERB	32	ccomp
35	maíz	NOUN	34	obj
36	blanco	ADJ	35	amod
37	en	ADP	40	cc
38	lugar	NOUN	37	fixed
39	de	ADP	37	fixed
40	amarillo	ADJ	35	conj
41	,	PUNCT	46	punct
42	porque	SCONJ	46	mark
43	la	DET	44	det
44	harina	NOUN	46	nsubj
45	podría	AUX	46	aux
46	contener	VERB	32	advcl
47	una	DET	48	det
48	variedad	NOUN	46	obj
49	de	ADP	50	case
50	grano	NOUN	48	nmod
51	modificado	ADJ	50	amod
52	genéticamente	ADV	51	advmod
53	y	CCONJ	55	cc
54	no	ADV	55	advmod
55	autorizada	ADJ	50	conj
56	.	PUNCT	16	punct