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:
Tři lidé byli zabiti a 16 dalších zraněno v noci na včerejšek při nové vlně terorismu v peruánském hlavním městě, za kterou je odpovědná maoistická organizace Světlá stezka.
Postion	Tokenization
1	Tři
2	lidé
3	byli
4	zabiti
5	a
6	16
7	dalších
8	zraněno
9	v
10	noci
11	na
12	včerejšek
13	při
14	nové
15	vlně
16	terorismu
17	v
18	peruánském
19	hlavním
20	městě
21	,
22	za
23	kterou
24	je
25	odpovědná
26	maoistická
27	organizace
28	Světlá
29	stezka
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Tři	NUM	2	nummod
2	lidé	NOUN	4	nsubj:pass
3	byli	AUX	4	aux:pass
4	zabiti	ADJ	0	root
5	a	CCONJ	8	cc
6	16	NUM	8	nsubj:pass
7	dalších	ADJ	6	amod
8	zraněno	ADJ	4	conj
9	v	ADP	10	case
10	noci	NOUN	8	obl
11	na	ADP	12	case
12	včerejšek	NOUN	10	nmod
13	při	ADP	15	case
14	nové	ADJ	15	amod
15	vlně	NOUN	8	obl
16	terorismu	NOUN	15	nmod
17	v	ADP	20	case
18	peruánském	ADJ	20	amod
19	hlavním	ADJ	20	amod
20	městě	NOUN	16	nmod
21	,	PUNCT	25	punct
22	za	ADP	23	case
23	kterou	DET	25	obl:arg
24	je	AUX	25	cop
25	odpovědná	ADJ	15	acl:relcl
26	maoistická	ADJ	27	amod
27	organizace	NOUN	25	nsubj
28	Světlá	ADJ	29	amod
29	stezka	NOUN	27	nmod
30	.	PUNCT	4	punct