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:
Valone dijo al periódico "Folha de Sao Paulo" que Globo busca "aprender" sobre el mercado hispánico estadounidense que, según él, "mueve cerca de 1.000 millones de dólares por año".
Postion	Tokenization
1	Valone
2	dijo
3	al
4	periódico
5	"
6	Folha
7	de
8	Sao
9	Paulo
10	"
11	que
12	Globo
13	busca
14	"
15	aprender
16	"
17	sobre
18	el
19	mercado
20	hispánico
21	estadounidense
22	que
23	,
24	según
25	él
26	,
27	"
28	mueve
29	cerca
30	de
31	1.000
32	millones
33	de
34	dólares
35	por
36	año
37	"
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Valone	PROPN	2	nsubj
2	dijo	VERB	0	root
3	al	ADP	4	case
4	periódico	NOUN	2	iobj
5	"	PUNCT	6	punct
6	Folha	PROPN	4	appos
7	de	ADP	8	case
8	Sao	PROPN	6	flat
9	Paulo	PROPN	8	flat
10	"	PUNCT	6	punct
11	que	SCONJ	13	mark
12	Globo	PROPN	13	nsubj
13	busca	VERB	2	ccomp
14	"	PUNCT	15	punct
15	aprender	VERB	13	xcomp
16	"	PUNCT	15	punct
17	sobre	ADP	19	case
18	el	DET	19	det
19	mercado	NOUN	15	obl
20	hispánico	ADJ	19	amod
21	estadounidense	ADJ	19	amod
22	que	PRON	28	nsubj
23	,	PUNCT	25	punct
24	según	ADP	25	case
25	él	PRON	28	obl
26	,	PUNCT	25	punct
27	"	PUNCT	28	punct
28	mueve	VERB	19	acl
29	cerca	ADV	32	advmod
30	de	ADP	29	case
31	1.000	NUM	29	nummod
32	millones	NOUN	28	obj
33	de	ADP	34	case
34	dólares	NOUN	32	nmod
35	por	ADP	36	case
36	año	NOUN	32	nmod
37	"	PUNCT	28	punct
38	.	PUNCT	2	punct