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:
Pokud prezident nebude chtít pomoci při vzniku vlády, bude to důkaz, že mu jde jen o politickou hru a prezidentskou kampaň, řekl včera Aleksander Kwašniewski.
Postion	Tokenization
1	Pokud
2	prezident
3	nebude
4	chtít
5	pomoci
6	při
7	vzniku
8	vlády
9	,
10	bude
11	to
12	důkaz
13	,
14	že
15	mu
16	jde
17	jen
18	o
19	politickou
20	hru
21	a
22	prezidentskou
23	kampaň
24	,
25	řekl
26	včera
27	Aleksander
28	Kwašniewski
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pokud	SCONJ	4	mark
2	prezident	NOUN	4	nsubj
3	nebude	AUX	4	aux
4	chtít	VERB	12	advcl
5	pomoci	VERB	4	xcomp
6	při	ADP	7	case
7	vzniku	NOUN	4	obl
8	vlády	NOUN	7	nmod
9	,	PUNCT	4	punct
10	bude	AUX	12	cop
11	to	DET	12	nsubj
12	důkaz	NOUN	25	ccomp
13	,	PUNCT	16	punct
14	že	SCONJ	16	mark
15	mu	PRON	16	obl:arg
16	jde	VERB	12	acl
17	jen	PART	20	advmod:emph
18	o	ADP	20	case
19	politickou	ADJ	20	amod
20	hru	NOUN	16	obl:arg
21	a	CCONJ	23	cc
22	prezidentskou	ADJ	23	amod
23	kampaň	NOUN	20	conj
24	,	PUNCT	12	punct
25	řekl	VERB	0	root
26	včera	ADV	25	advmod
27	Aleksander	PROPN	25	nsubj
28	Kwašniewski	PROPN	27	flat
29	.	PUNCT	25	punct