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:
El dólar y el euro ganaron hoy posiciones en Tokio en un mercado donde los inversores japoneses son los más activos, con más optimismo en el futuro de la economía de EEUU.
Postion	Tokenization
1	El
2	dólar
3	y
4	el
5	euro
6	ganaron
7	hoy
8	posiciones
9	en
10	Tokio
11	en
12	un
13	mercado
14	donde
15	los
16	inversores
17	japoneses
18	son
19	los
20	más
21	activos
22	,
23	con
24	más
25	optimismo
26	en
27	el
28	futuro
29	de
30	la
31	economía
32	de
33	EEUU
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	dólar	NOUN	6	nsubj
3	y	CCONJ	5	cc
4	el	DET	5	det
5	euro	NOUN	2	conj
6	ganaron	VERB	0	root
7	hoy	ADV	6	advmod
8	posiciones	NOUN	6	obj
9	en	ADP	10	case
10	Tokio	PROPN	6	obl
11	en	ADP	13	case
12	un	DET	13	det
13	mercado	NOUN	6	obl
14	donde	PRON	21	obl
15	los	DET	16	det
16	inversores	NOUN	21	nsubj
17	japoneses	ADJ	16	amod
18	son	AUX	21	cop
19	los	DET	21	det
20	más	ADV	21	advmod
21	activos	ADJ	13	acl
22	,	PUNCT	25	punct
23	con	ADP	25	case
24	más	ADV	25	advmod
25	optimismo	NOUN	21	nmod
26	en	ADP	28	case
27	el	DET	28	det
28	futuro	NOUN	25	nmod
29	de	ADP	31	case
30	la	DET	31	det
31	economía	NOUN	28	nmod
32	de	ADP	33	case
33	EEUU	PROPN	31	nmod
34	.	PUNCT	6	punct