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 Policía de Ecuador se incautó, en los últimos siete meses, de 1,18 millones de dólares falsos y teme que en el mercado local sigan circulando otros 500.000, informó hoy, domingo, la prensa local.
Postion	Tokenization
1	La
2	Policía
3	de
4	Ecuador
5	se
6	incautó
7	,
8	en
9	los
10	últimos
11	siete
12	meses
13	,
14	de
15	1,18
16	millones
17	de
18	dólares
19	falsos
20	y
21	teme
22	que
23	en
24	el
25	mercado
26	local
27	sigan
28	circulando
29	otros
30	500.000
31	,
32	informó
33	hoy
34	,
35	domingo
36	,
37	la
38	prensa
39	local
40	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Policía	PROPN	6	nsubj
3	de	ADP	4	case
4	Ecuador	PROPN	2	nmod
5	se	PRON	6	expl:pv
6	incautó	VERB	32	ccomp
7	,	PUNCT	12	punct
8	en	ADP	12	case
9	los	DET	12	det
10	últimos	ADJ	9	amod
11	siete	NUM	9	nummod
12	meses	NOUN	6	obl
13	,	PUNCT	12	punct
14	de	ADP	16	case
15	1,18	NUM	16	nummod
16	millones	NOUN	6	obj
17	de	ADP	18	case
18	dólares	NOUN	16	nmod
19	falsos	ADJ	16	amod
20	y	CCONJ	21	cc
21	teme	VERB	6	conj
22	que	SCONJ	27	mark
23	en	ADP	25	case
24	el	DET	25	det
25	mercado	NOUN	27	obl
26	local	ADJ	25	amod
27	sigan	VERB	21	ccomp
28	circulando	VERB	27	xcomp
29	otros	PRON	30	nmod
30	500.000	NUM	27	nsubj
31	,	PUNCT	6	punct
32	informó	VERB	0	root
33	hoy	ADV	32	advmod
34	,	PUNCT	35	punct
35	domingo	NOUN	32	obl
36	,	PUNCT	35	punct
37	la	DET	38	det
38	prensa	NOUN	32	nsubj
39	local	ADJ	38	amod
40	.	PUNCT	32	punct