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:
Los violentos confundieron al electricista con un diputado del PP de igual nombre, quien contactó con las víctimas para lamentar que corrieran peligro por esa "equivocación".
Postion	Tokenization
1	Los
2	violentos
3	confundieron
4	al
5	electricista
6	con
7	un
8	diputado
9	del
10	PP
11	de
12	igual
13	nombre
14	,
15	quien
16	contactó
17	con
18	las
19	víctimas
20	para
21	lamentar
22	que
23	corrieran
24	peligro
25	por
26	esa
27	"
28	equivocación
29	"
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	violentos	ADJ	3	nsubj
3	confundieron	VERB	0	root
4	al	ADP	5	case
5	electricista	NOUN	3	obj
6	con	ADP	8	case
7	un	DET	8	det
8	diputado	NOUN	3	obj
9	del	ADP	10	case
10	PP	PROPN	8	nmod
11	de	ADP	13	case
12	igual	ADJ	13	amod
13	nombre	NOUN	8	nmod
14	,	PUNCT	16	punct
15	quien	PRON	16	nsubj
16	contactó	VERB	8	acl
17	con	ADP	19	case
18	las	DET	19	det
19	víctimas	NOUN	16	obj
20	para	ADP	21	mark
21	lamentar	VERB	16	advcl
22	que	SCONJ	23	mark
23	corrieran	VERB	21	ccomp
24	peligro	NOUN	23	obj
25	por	ADP	28	case
26	esa	DET	28	det
27	"	PUNCT	28	punct
28	equivocación	NOUN	23	obl
29	"	PUNCT	28	punct
30	.	PUNCT	3	punct