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:
Naopak typ druhý trvá na své lidské důstojnosti i tehdy, vystavuje-li se pro to konfliktům či posměchu: zde chodím a nemohu jinak, zní jeho krédo.
Postion	Tokenization
1	Naopak
2	typ
3	druhý
4	trvá
5	na
6	své
7	lidské
8	důstojnosti
9	i
10	tehdy
11	,
12	vystavuje
13	-
14	li
15	se
16	pro
17	to
18	konfliktům
19	či
20	posměchu
21	:
22	zde
23	chodím
24	a
25	nemohu
26	jinak
27	,
28	zní
29	jeho
30	krédo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Naopak	ADV	4	advmod
2	typ	NOUN	4	nsubj
3	druhý	ADJ	2	amod
4	trvá	VERB	0	root
5	na	ADP	8	case
6	své	DET	8	det
7	lidské	ADJ	8	amod
8	důstojnosti	NOUN	4	obl:arg
9	i	CCONJ	10	advmod:emph
10	tehdy	ADV	4	advmod
11	,	PUNCT	12	punct
12	vystavuje	VERB	4	advcl
13	-	PUNCT	12	punct
14	li	PART	12	mark
15	se	PRON	12	obj
16	pro	ADP	17	case
17	to	DET	12	obl
18	konfliktům	NOUN	12	obl:arg
19	či	CCONJ	20	cc
20	posměchu	NOUN	18	conj
21	:	PUNCT	28	punct
22	zde	ADV	23	advmod
23	chodím	VERB	28	advcl
24	a	CCONJ	25	cc
25	nemohu	VERB	23	conj
26	jinak	ADV	25	advmod
27	,	PUNCT	23	punct
28	zní	VERB	4	conj
29	jeho	DET	30	det
30	krédo	NOUN	28	nsubj
31	.	PUNCT	4	punct