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 jednoduchého důvodu - nechtěli se pouštět do podrobnějšího výkladu návrhu ústavního zákona, kterým chce ODS navždy v této zemi zabránit přijetí deficitního rozpočtu.
Postion	Tokenization
1	Z
2	jednoduchého
3	důvodu
4	-
5	nechtěli
6	se
7	pouštět
8	do
9	podrobnějšího
10	výkladu
11	návrhu
12	ústavního
13	zákona
14	,
15	kterým
16	chce
17	ODS
18	navždy
19	v
20	této
21	zemi
22	zabránit
23	přijetí
24	deficitního
25	rozpočtu
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	3	case
2	jednoduchého	ADJ	3	amod
3	důvodu	NOUN	0	root
4	-	PUNCT	5	punct
5	nechtěli	VERB	3	acl
6	se	PRON	7	expl:pv
7	pouštět	VERB	5	xcomp
8	do	ADP	10	case
9	podrobnějšího	ADJ	10	amod
10	výkladu	NOUN	7	obl:arg
11	návrhu	NOUN	10	nmod
12	ústavního	ADJ	13	amod
13	zákona	NOUN	11	nmod
14	,	PUNCT	16	punct
15	kterým	DET	16	obl
16	chce	VERB	13	acl:relcl
17	ODS	PROPN	16	nsubj
18	navždy	ADV	16	advmod
19	v	ADP	21	case
20	této	DET	21	det
21	zemi	NOUN	22	obl
22	zabránit	VERB	16	xcomp
23	přijetí	NOUN	22	obl:arg
24	deficitního	ADJ	25	amod
25	rozpočtu	NOUN	23	nmod
26	.	PUNCT	3	punct