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:
Z "přirozených" Čechů krve a jazyka se musíme stát Čechy - občany této České republiky, ne náhodně tím, že se Čechy narodili, ale vlastním zodpovědným rozhodnutím.
Postion	Tokenization
1	Z
2	"
3	přirozených
4	"
5	Čechů
6	krve
7	a
8	jazyka
9	se
10	musíme
11	stát
12	Čechy
13	-
14	občany
15	této
16	České
17	republiky
18	,
19	ne
20	náhodně
21	tím
22	,
23	že
24	se
25	Čechy
26	narodili
27	,
28	ale
29	vlastním
30	zodpovědným
31	rozhodnutím
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	5	case
2	"	PUNCT	3	punct
3	přirozených	ADJ	5	amod
4	"	PUNCT	3	punct
5	Čechů	PROPN	11	obl:arg
6	krve	NOUN	5	nmod
7	a	CCONJ	8	cc
8	jazyka	NOUN	6	conj
9	se	PRON	11	expl:pv
10	musíme	VERB	0	root
11	stát	VERB	10	xcomp
12	Čechy	PROPN	11	obl:arg
13	-	PUNCT	14	punct
14	občany	NOUN	12	appos
15	této	DET	17	det
16	České	ADJ	17	amod
17	republiky	NOUN	14	nmod
18	,	PUNCT	20	punct
19	ne	PART	20	advmod:emph
20	náhodně	ADV	11	advmod
21	tím	DET	11	obl
22	,	PUNCT	26	punct
23	že	SCONJ	26	mark
24	se	PRON	26	expl:pv
25	Čechy	PROPN	26	obl:arg
26	narodili	VERB	21	acl
27	,	PUNCT	31	punct
28	ale	CCONJ	31	cc
29	vlastním	ADJ	31	amod
30	zodpovědným	ADJ	31	amod
31	rozhodnutím	NOUN	11	conj
32	.	PUNCT	10	punct