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:
Moya dijo a EFE que este incremento en los precios incidirá en los 831.000 sacos que todavía faltan por vender de la cosecha 1999-2000, que fue de 3,5 millones de sacos.
Postion	Tokenization
1	Moya
2	dijo
3	a
4	EFE
5	que
6	este
7	incremento
8	en
9	los
10	precios
11	incidirá
12	en
13	los
14	831.000
15	sacos
16	que
17	todavía
18	faltan
19	por
20	vender
21	de
22	la
23	cosecha
24	1999-2000
25	,
26	que
27	fue
28	de
29	3,5
30	millones
31	de
32	sacos
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Moya	PROPN	2	nsubj
2	dijo	VERB	0	root
3	a	ADP	4	case
4	EFE	PROPN	2	iobj
5	que	SCONJ	11	mark
6	este	DET	7	det
7	incremento	NOUN	11	nsubj
8	en	ADP	10	case
9	los	DET	10	det
10	precios	NOUN	7	nmod
11	incidirá	VERB	2	ccomp
12	en	ADP	15	case
13	los	DET	14	det
14	831.000	NUM	15	nummod
15	sacos	NOUN	11	obj
16	que	PRON	18	nsubj
17	todavía	ADV	18	advmod
18	faltan	VERB	15	acl
19	por	ADP	20	mark
20	vender	VERB	18	advcl
21	de	ADP	23	case
22	la	DET	23	det
23	cosecha	NOUN	15	nmod
24	1999-2000	NOUN	23	appos
25	,	PUNCT	30	punct
26	que	PRON	30	nsubj
27	fue	AUX	30	cop
28	de	ADP	30	case
29	3,5	NUM	30	nummod
30	millones	NOUN	23	acl
31	de	ADP	32	case
32	sacos	NOUN	30	nmod
33	.	PUNCT	2	punct