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:
- No intervine -, nos confió doña MPG, quien no quiere que publiquemos su nombre, porque creí que la cosa no llegaría a tanto y también por susto -.
Postion	Tokenization
1	-
2	No
3	intervine
4	-
5	,
6	nos
7	confió
8	doña
9	MPG
10	,
11	quien
12	no
13	quiere
14	que
15	publiquemos
16	su
17	nombre
18	,
19	porque
20	creí
21	que
22	la
23	cosa
24	no
25	llegaría
26	a
27	tanto
28	y
29	también
30	por
31	susto
32	-
33	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	3	punct
2	No	ADV	3	advmod
3	intervine	VERB	7	ccomp
4	-	PUNCT	3	punct
5	,	PUNCT	3	punct
6	nos	PRON	7	iobj
7	confió	VERB	0	root
8	doña	NOUN	7	nsubj
9	MPG	PROPN	8	flat
10	,	PUNCT	13	punct
11	quien	PRON	13	nsubj
12	no	ADV	13	advmod
13	quiere	VERB	9	acl
14	que	SCONJ	15	mark
15	publiquemos	VERB	13	ccomp
16	su	DET	17	det
17	nombre	NOUN	15	obj
18	,	PUNCT	20	punct
19	porque	SCONJ	20	mark
20	creí	VERB	13	advcl
21	que	SCONJ	25	mark
22	la	DET	23	det
23	cosa	NOUN	25	nsubj
24	no	ADV	25	advmod
25	llegaría	VERB	20	ccomp
26	a	ADP	27	case
27	tanto	ADV	25	advmod
28	y	CCONJ	29	cc
29	también	ADV	20	conj
30	por	ADP	29	case
31	susto	NOUN	29	nmod
32	-	PUNCT	7	punct
33	.	PUNCT	7	punct