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:
Ponechme protentokrát stranou diskuse o tom, zda má či nemá být vyrovnaný rozpočet zakotven v ústavě, a podívejme se, co přinesou novely daňových zákonů podnikatelům a spotřebitelům.
Postion	Tokenization
1	Ponechme
2	protentokrát
3	stranou
4	diskuse
5	o
6	tom
7	,
8	zda
9	má
10	či
11	nemá
12	být
13	vyrovnaný
14	rozpočet
15	zakotven
16	v
17	ústavě
18	,
19	a
20	podívejme
21	se
22	,
23	co
24	přinesou
25	novely
26	daňových
27	zákonů
28	podnikatelům
29	a
30	spotřebitelům
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ponechme	VERB	0	root
2	protentokrát	ADV	1	advmod
3	stranou	ADV	1	advmod
4	diskuse	NOUN	1	obj
5	o	ADP	6	case
6	tom	DET	4	det
7	,	PUNCT	9	punct
8	zda	SCONJ	9	mark
9	má	VERB	6	acl
10	či	CCONJ	11	cc
11	nemá	VERB	9	conj
12	být	AUX	15	cop
13	vyrovnaný	ADJ	14	amod
14	rozpočet	NOUN	9	nsubj
15	zakotven	ADJ	9	xcomp
16	v	ADP	17	case
17	ústavě	NOUN	15	obl
18	,	PUNCT	9	punct
19	a	CCONJ	20	cc
20	podívejme	VERB	1	conj
21	se	PRON	20	expl:pv
22	,	PUNCT	24	punct
23	co	PRON	24	obj
24	přinesou	VERB	20	ccomp
25	novely	NOUN	24	nsubj
26	daňových	ADJ	27	amod
27	zákonů	NOUN	25	nmod
28	podnikatelům	NOUN	24	obl
29	a	CCONJ	30	cc
30	spotřebitelům	NOUN	28	conj
31	.	PUNCT	1	punct