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 text: Hlavní ideolog a vůdce peruánské maoistické organizace Světlá stezka Abimael Guzmán přiznal svou odpovědnost za teroristické činy Světlé stezky, mezi něž patří zavraždění nejméně 26000 osob a materiální škody ve výši více než dvou miliard dolarů, a je připraven nést důsledky dvanáctileté ozbrojené aktivity této organizace.
Position	Tokenization	UPOS	Head	Deprel
1	Hlavní	ADJ	2	amod
2	ideolog	NOUN	10	nmod
3	a	CCONJ	4	cc
4	vůdce	NOUN	2	conj
5	peruánské	ADJ	7	amod
6	maoistické	ADJ	7	amod
7	organizace	NOUN	4	nmod
8	Světlá	ADJ	9	amod
9	stezka	NOUN	7	nmod
10	Abimael	PROPN	12	nsubj
11	Guzmán	PROPN	10	flat
12	přiznal	VERB	0	root
13	svou	DET	14	det
14	odpovědnost	NOUN	12	obj
15	za	ADP	17	case
16	teroristické	ADJ	17	amod
17	činy	NOUN	14	nmod
18	Světlé	ADJ	19	amod
19	stezky	NOUN	17	nmod
20	,	PUNCT	23	punct
21	mezi	ADP	22	case
22	něž	PRON	23	obl
23	patří	VERB	17	acl:relcl
24	zavraždění	NOUN	23	nsubj
25	nejméně	ADV	27	advmod:emph
26	26000	NUM	27	nummod
27	osob	NOUN	24	nmod
28	a	CCONJ	30	cc
29	materiální	ADJ	30	amod
30	škody	NOUN	24	conj
31	ve	ADP	32	case
32	výši	NOUN	30	nmod
33	více	ADV	32	advmod
34	než	SCONJ	36	mark
35	dvou	NUM	36	nummod
36	miliard	NOUN	33	obl
37	dolarů	NOUN	36	nmod
38	,	PUNCT	23	punct
39	a	CCONJ	41	cc
40	je	AUX	41	cop
41	připraven	ADJ	12	conj
42	nést	VERB	41	xcomp
43	důsledky	NOUN	42	obj
44	dvanáctileté	ADJ	46	amod
45	ozbrojené	ADJ	46	amod
46	aktivity	NOUN	43	nmod
47	této	DET	48	det
48	organizace	NOUN	46	nmod
49	.	PUNCT	12	punct