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 firme intervención del primer ministro, Mugur Isarescu, quien garantizó la solidez de BCR, la estabilidad de las cotizaciones de la moneda nacional, asimismo la convicción de la gente de que fueron víctimas de manipulaciones especulativas, contribuyeron a traer de nuevo la calma.
Postion	Tokenization
1	La
2	firme
3	intervención
4	del
5	primer
6	ministro
7	,
8	Mugur
9	Isarescu
10	,
11	quien
12	garantizó
13	la
14	solidez
15	de
16	BCR
17	,
18	la
19	estabilidad
20	de
21	las
22	cotizaciones
23	de
24	la
25	moneda
26	nacional
27	,
28	asimismo
29	la
30	convicción
31	de
32	la
33	gente
34	de
35	que
36	fueron
37	víctimas
38	de
39	manipulaciones
40	especulativas
41	,
42	contribuyeron
43	a
44	traer
45	de
46	nuevo
47	la
48	calma
49	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	firme	ADJ	3	amod
3	intervención	NOUN	42	nsubj
4	del	ADP	6	case
5	primer	ADJ	6	amod
6	ministro	NOUN	3	nmod
7	,	PUNCT	8	punct
8	Mugur	PROPN	6	appos
9	Isarescu	PROPN	8	flat
10	,	PUNCT	8	punct
11	quien	PRON	12	nsubj
12	garantizó	VERB	6	acl
13	la	DET	14	det
14	solidez	NOUN	12	obj
15	de	ADP	16	case
16	BCR	PROPN	14	nmod
17	,	PUNCT	3	punct
18	la	DET	19	det
19	estabilidad	NOUN	3	appos
20	de	ADP	22	case
21	las	DET	22	det
22	cotizaciones	NOUN	19	nmod
23	de	ADP	25	case
24	la	DET	25	det
25	moneda	NOUN	22	nmod
26	nacional	ADJ	25	amod
27	,	PUNCT	3	punct
28	asimismo	ADV	30	advmod
29	la	DET	30	det
30	convicción	NOUN	3	appos
31	de	ADP	33	case
32	la	DET	33	det
33	gente	NOUN	30	nmod
34	de	ADP	37	mark
35	que	SCONJ	37	mark
36	fueron	AUX	37	cop
37	víctimas	NOUN	30	acl
38	de	ADP	39	case
39	manipulaciones	NOUN	37	nmod
40	especulativas	ADJ	39	amod
41	,	PUNCT	3	punct
42	contribuyeron	VERB	0	root
43	a	ADP	44	mark
44	traer	VERB	42	xcomp
45	de	ADP	44	advmod
46	nuevo	ADJ	45	fixed
47	la	DET	48	det
48	calma	NOUN	44	obj
49	.	PUNCT	42	punct