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:
Satin pidió al sector privado que fomente la investigación sobre el almidón y anunció que en breve la FAO publicará un detallado atlas de las partículas de los granos de almidón.
Postion	Tokenization
1	Satin
2	pidió
3	al
4	sector
5	privado
6	que
7	fomente
8	la
9	investigación
10	sobre
11	el
12	almidón
13	y
14	anunció
15	que
16	en
17	breve
18	la
19	FAO
20	publicará
21	un
22	detallado
23	atlas
24	de
25	las
26	partículas
27	de
28	los
29	granos
30	de
31	almidón
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Satin	PROPN	2	nsubj
2	pidió	VERB	0	root
3	al	ADP	4	case
4	sector	NOUN	2	iobj
5	privado	ADJ	4	amod
6	que	SCONJ	7	mark
7	fomente	VERB	2	ccomp
8	la	DET	9	det
9	investigación	NOUN	7	obj
10	sobre	ADP	12	case
11	el	DET	12	det
12	almidón	NOUN	9	nmod
13	y	CCONJ	14	cc
14	anunció	VERB	2	conj
15	que	SCONJ	20	mark
16	en	ADP	20	advmod
17	breve	NOUN	16	fixed
18	la	DET	19	det
19	FAO	PROPN	20	nsubj
20	publicará	VERB	14	ccomp
21	un	DET	23	det
22	detallado	ADJ	23	amod
23	atlas	NOUN	20	obj
24	de	ADP	26	case
25	las	DET	26	det
26	partículas	NOUN	23	nmod
27	de	ADP	29	case
28	los	DET	29	det
29	granos	NOUN	26	nmod
30	de	ADP	31	case
31	almidón	NOUN	29	nmod
32	.	PUNCT	2	punct