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:
Pro Poppera je obtížné představovat demokracii pouze jako vládu většiny: doba, ve které žije, mu naléhavě připomíná, co měl na mysli Platon, když narážel na paradox svobody.
Postion	Tokenization
1	Pro
2	Poppera
3	je
4	obtížné
5	představovat
6	demokracii
7	pouze
8	jako
9	vládu
10	většiny
11	:
12	doba
13	,
14	ve
15	které
16	žije
17	,
18	mu
19	naléhavě
20	připomíná
21	,
22	co
23	měl
24	na
25	mysli
26	Platon
27	,
28	když
29	narážel
30	na
31	paradox
32	svobody
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Pro	ADP	2	case
2	Poppera	PROPN	4	obl
3	je	AUX	4	cop
4	obtížné	ADJ	0	root
5	představovat	VERB	4	csubj
6	demokracii	NOUN	5	obj
7	pouze	ADV	9	advmod:emph
8	jako	SCONJ	9	mark
9	vládu	NOUN	6	xcomp
10	většiny	NOUN	9	nmod
11	:	PUNCT	20	punct
12	doba	NOUN	20	nsubj
13	,	PUNCT	16	punct
14	ve	ADP	15	case
15	které	DET	16	obl
16	žije	VERB	12	acl:relcl
17	,	PUNCT	16	punct
18	mu	PRON	20	obl:arg
19	naléhavě	ADV	20	advmod
20	připomíná	VERB	4	conj
21	,	PUNCT	23	punct
22	co	PRON	23	obj
23	měl	VERB	20	ccomp
24	na	ADP	25	case
25	mysli	NOUN	23	obl:arg
26	Platon	PROPN	23	nsubj
27	,	PUNCT	29	punct
28	když	SCONJ	29	mark
29	narážel	VERB	23	advcl
30	na	ADP	31	case
31	paradox	NOUN	29	obl:arg
32	svobody	NOUN	31	nmod
33	.	PUNCT	4	punct