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:
Proč se však proti tomuto návrhu staví i strany s konzervativní či liberální politickou orientací, kterým by idea nezadluženého státu měla být vlastní?
Postion	Tokenization
1	Proč
2	se
3	však
4	proti
5	tomuto
6	návrhu
7	staví
8	i
9	strany
10	s
11	konzervativní
12	či
13	liberální
14	politickou
15	orientací
16	,
17	kterým
18	by
19	idea
20	nezadluženého
21	státu
22	měla
23	být
24	vlastní
25	?
Position	Tokenization	UPOS	Head	Deprel
1	Proč	ADV	7	advmod
2	se	PRON	7	expl:pv
3	však	CCONJ	7	cc
4	proti	ADP	6	case
5	tomuto	DET	6	det
6	návrhu	NOUN	7	obl:arg
7	staví	VERB	0	root
8	i	CCONJ	9	advmod:emph
9	strany	NOUN	7	nsubj
10	s	ADP	15	case
11	konzervativní	ADJ	15	amod
12	či	CCONJ	13	cc
13	liberální	ADJ	11	conj
14	politickou	ADJ	15	amod
15	orientací	NOUN	9	nmod
16	,	PUNCT	22	punct
17	kterým	DET	24	obl:arg
18	by	AUX	22	aux
19	idea	NOUN	22	nsubj
20	nezadluženého	ADJ	21	amod
21	státu	NOUN	19	nmod
22	měla	VERB	15	acl:relcl
23	být	AUX	24	cop
24	vlastní	ADJ	22	xcomp
25	?	PUNCT	7	punct