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:
Naše veřejnost je sama schopna přiřadit takto prezentovaným alternativám váhu odrážející jejich věcnou fundovanost, realismus a dlouhodobou platnost a vyvodit z toho svá vlastní politická rozhodnutí.
Postion	Tokenization
1	Naše
2	veřejnost
3	je
4	sama
5	schopna
6	přiřadit
7	takto
8	prezentovaným
9	alternativám
10	váhu
11	odrážející
12	jejich
13	věcnou
14	fundovanost
15	,
16	realismus
17	a
18	dlouhodobou
19	platnost
20	a
21	vyvodit
22	z
23	toho
24	svá
25	vlastní
26	politická
27	rozhodnutí
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Naše	DET	2	det
2	veřejnost	NOUN	5	nsubj
3	je	AUX	5	cop
4	sama	DET	2	xcomp
5	schopna	ADJ	0	root
6	přiřadit	VERB	5	xcomp
7	takto	ADV	8	advmod
8	prezentovaným	ADJ	9	amod
9	alternativám	NOUN	6	obl:arg
10	váhu	NOUN	6	obj
11	odrážející	ADJ	10	amod
12	jejich	DET	14	det
13	věcnou	ADJ	14	amod
14	fundovanost	NOUN	11	obj
15	,	PUNCT	16	punct
16	realismus	NOUN	14	conj
17	a	CCONJ	19	cc
18	dlouhodobou	ADJ	19	amod
19	platnost	NOUN	14	conj
20	a	CCONJ	21	cc
21	vyvodit	VERB	6	conj
22	z	ADP	23	case
23	toho	DET	21	obl:arg
24	svá	DET	27	det
25	vlastní	ADJ	27	amod
26	politická	ADJ	27	amod
27	rozhodnutí	NOUN	21	obj
28	.	PUNCT	5	punct