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:
Je zbytečné stěžovat si, že ten či onen politik nemluví pravdu, že využívá čtvrtpravd a lží, aby vládě šel po krku a zaujal její místo.
Postion	Tokenization
1	Je
2	zbytečné
3	stěžovat
4	si
5	,
6	že
7	ten
8	či
9	onen
10	politik
11	nemluví
12	pravdu
13	,
14	že
15	využívá
16	čtvrtpravd
17	a
18	lží
19	,
20	aby
21	aby
22	by
23	vládě
24	šel
25	po
26	krku
27	a
28	zaujal
29	její
30	místo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	2	cop
2	zbytečné	ADJ	0	root
3	stěžovat	VERB	2	csubj
4	si	PRON	3	expl:pv
5	,	PUNCT	11	punct
6	že	SCONJ	11	mark
7	ten	DET	10	det
8	či	CCONJ	9	cc
9	onen	DET	7	conj
10	politik	NOUN	11	nsubj
11	nemluví	VERB	3	ccomp
12	pravdu	NOUN	11	obj
13	,	PUNCT	15	punct
14	že	SCONJ	15	mark
15	využívá	VERB	11	conj
16	čtvrtpravd	NOUN	15	obl:arg
17	a	CCONJ	18	cc
18	lží	NOUN	16	conj
19	,	PUNCT	23	punct
20	aby	_	None	_
21	aby	SCONJ	23	mark
22	by	AUX	23	aux
23	vládě	NOUN	23	obl
24	šel	VERB	15	advcl
25	po	ADP	25	case
26	krku	NOUN	23	obl:arg
27	a	CCONJ	27	cc
28	zaujal	VERB	23	conj
29	její	DET	29	det
30	místo	NOUN	27	obj
31	.	PUNCT	2	punct