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:
Stein informó hoy al Consejo Permanente de que el proceso electoral en Perú fue "irregular" y subrayó que se enfrenta a "una severa crisis de credibilidad".
Postion	Tokenization
1	Stein
2	informó
3	hoy
4	al
5	Consejo
6	Permanente
7	de
8	que
9	el
10	proceso
11	electoral
12	en
13	Perú
14	fue
15	"
16	irregular
17	"
18	y
19	subrayó
20	que
21	se
22	enfrenta
23	a
24	"
25	una
26	severa
27	crisis
28	de
29	credibilidad
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Stein	PROPN	2	nsubj
2	informó	VERB	0	root
3	hoy	ADV	2	advmod
4	al	ADP	5	case
5	Consejo	PROPN	2	iobj
6	Permanente	PROPN	5	flat
7	de	ADP	16	mark
8	que	SCONJ	16	mark
9	el	DET	10	det
10	proceso	NOUN	16	nsubj
11	electoral	ADJ	10	amod
12	en	ADP	13	case
13	Perú	PROPN	10	nmod
14	fue	AUX	16	cop
15	"	PUNCT	16	punct
16	irregular	ADJ	2	ccomp
17	"	PUNCT	16	punct
18	y	CCONJ	19	cc
19	subrayó	VERB	2	conj
20	que	SCONJ	22	mark
21	se	PRON	22	expl:pv
22	enfrenta	VERB	19	ccomp
23	a	ADP	27	case
24	"	PUNCT	27	punct
25	una	DET	27	det
26	severa	ADJ	27	amod
27	crisis	NOUN	22	obj
28	de	ADP	29	case
29	credibilidad	NOUN	27	nmod
30	"	PUNCT	27	punct
31	.	PUNCT	2	punct