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:
Kdo se něčím vážně zabývá, je to zřejmě schopen uskutečnit, a nic ho už neočistí před podezřením, že to vlastně potají připravuje.
Postion	Tokenization
1	Kdo
2	se
3	něčím
4	vážně
5	zabývá
6	,
7	je
8	to
9	zřejmě
10	schopen
11	uskutečnit
12	,
13	a
14	nic
15	ho
16	už
17	neočistí
18	před
19	podezřením
20	,
21	že
22	to
23	vlastně
24	potají
25	připravuje
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Kdo	PRON	5	nsubj
2	se	PRON	5	expl:pv
3	něčím	PRON	5	obl:arg
4	vážně	ADV	5	advmod
5	zabývá	VERB	10	csubj
6	,	PUNCT	5	punct
7	je	AUX	10	cop
8	to	DET	11	obj
9	zřejmě	ADV	10	advmod
10	schopen	ADJ	0	root
11	uskutečnit	VERB	10	xcomp
12	,	PUNCT	17	punct
13	a	CCONJ	17	cc
14	nic	PRON	17	nsubj
15	ho	PRON	17	obj
16	už	ADV	17	advmod
17	neočistí	VERB	10	conj
18	před	ADP	19	case
19	podezřením	NOUN	17	obl:arg
20	,	PUNCT	25	punct
21	že	SCONJ	25	mark
22	to	DET	25	obj
23	vlastně	ADV	25	advmod
24	potají	ADV	25	advmod
25	připravuje	VERB	19	acl
26	.	PUNCT	10	punct