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 decisión siguió a la que había tomado días atrás la cadena de supermercados Safeway, que retiró de sus locales toda la harina hecha con maíz amarillo.
Postion	Tokenization
1	La
2	decisión
3	siguió
4	a
5	la
6	que
7	había
8	tomado
9	días
10	atrás
11	la
12	cadena
13	de
14	supermercados
15	Safeway
16	,
17	que
18	retiró
19	de
20	sus
21	locales
22	toda
23	la
24	harina
25	hecha
26	con
27	maíz
28	amarillo
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	decisión	NOUN	3	nsubj
3	siguió	VERB	0	root
4	a	ADP	8	mark
5	la	DET	8	det
6	que	PRON	8	obj
7	había	AUX	8	aux
8	tomado	VERB	3	advcl
9	días	NOUN	8	obl
10	atrás	ADV	9	advmod
11	la	DET	12	det
12	cadena	NOUN	8	nsubj
13	de	ADP	14	case
14	supermercados	NOUN	12	nmod
15	Safeway	PROPN	12	appos
16	,	PUNCT	18	punct
17	que	PRON	18	nsubj
18	retiró	VERB	12	acl
19	de	ADP	21	case
20	sus	DET	21	det
21	locales	NOUN	18	obl
22	toda	DET	23	det
23	la	DET	24	det
24	harina	NOUN	18	obj
25	hecha	ADJ	24	amod
26	con	ADP	27	case
27	maíz	NOUN	25	obl
28	amarillo	ADJ	27	amod
29	.	PUNCT	3	punct