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:
Asimismo el Gobierno rumano anunció hoy medidas legislativas para fortalecer el control sobre los fondos mutuos de inversiones con el objetivo de impedir el fraude, el engaño y la falsa publicidad.
Postion	Tokenization
1	Asimismo
2	el
3	Gobierno
4	rumano
5	anunció
6	hoy
7	medidas
8	legislativas
9	para
10	fortalecer
11	el
12	control
13	sobre
14	los
15	fondos
16	mutuos
17	de
18	inversiones
19	con
20	el
21	objetivo
22	de
23	impedir
24	el
25	fraude
26	,
27	el
28	engaño
29	y
30	la
31	falsa
32	publicidad
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Asimismo	ADV	5	advmod
2	el	DET	3	det
3	Gobierno	PROPN	5	nsubj
4	rumano	ADJ	3	amod
5	anunció	VERB	0	root
6	hoy	ADV	5	advmod
7	medidas	NOUN	5	obj
8	legislativas	ADJ	7	amod
9	para	ADP	10	mark
10	fortalecer	VERB	7	acl
11	el	DET	12	det
12	control	NOUN	10	obj
13	sobre	ADP	15	case
14	los	DET	15	det
15	fondos	NOUN	12	nmod
16	mutuos	ADJ	15	amod
17	de	ADP	18	case
18	inversiones	NOUN	15	nmod
19	con	ADP	21	case
20	el	DET	21	det
21	objetivo	NOUN	5	obl
22	de	ADP	23	mark
23	impedir	VERB	21	acl
24	el	DET	25	det
25	fraude	NOUN	23	obj
26	,	PUNCT	28	punct
27	el	DET	28	det
28	engaño	NOUN	25	appos
29	y	CCONJ	32	cc
30	la	DET	32	det
31	falsa	ADJ	32	amod
32	publicidad	NOUN	25	conj
33	.	PUNCT	5	punct