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:
Lákavý je fakt, že se takto lze snadno stát politickým odborníkem na zdravotnictví, bezpečnost, diplomacii i školství, bez nutnosti náročného studia dané problematiky.
Postion	Tokenization
1	Lákavý
2	je
3	fakt
4	,
5	že
6	se
7	takto
8	lze
9	snadno
10	stát
11	politickým
12	odborníkem
13	na
14	zdravotnictví
15	,
16	bezpečnost
17	,
18	diplomacii
19	i
20	školství
21	,
22	bez
23	nutnosti
24	náročného
25	studia
26	dané
27	problematiky
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Lákavý	ADJ	0	root
2	je	AUX	1	cop
3	fakt	NOUN	1	nsubj
4	,	PUNCT	8	punct
5	že	SCONJ	8	mark
6	se	PRON	10	expl:pv
7	takto	ADV	8	advmod
8	lze	VERB	3	acl
9	snadno	ADV	8	advmod
10	stát	VERB	8	csubj
11	politickým	ADJ	12	amod
12	odborníkem	NOUN	10	obl:arg
13	na	ADP	14	case
14	zdravotnictví	NOUN	12	nmod
15	,	PUNCT	16	punct
16	bezpečnost	NOUN	14	conj
17	,	PUNCT	18	punct
18	diplomacii	NOUN	14	conj
19	i	CCONJ	20	cc
20	školství	NOUN	14	conj
21	,	PUNCT	23	punct
22	bez	ADP	23	case
23	nutnosti	NOUN	10	obl
24	náročného	ADJ	25	amod
25	studia	NOUN	23	nmod
26	dané	ADJ	27	amod
27	problematiky	NOUN	25	nmod
28	.	PUNCT	1	punct