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 text: Kdo aspoň něco ví o kinetické teorii tepla, ten přinejmenším znejistí nad tvrzením homeopata, že "roztok se musí před použitím protřepat, aby molekuly léčiva získaly dostatečnou energii".
Position	Tokenization	UPOS	Head	Deprel
1	Kdo	PRON	4	nsubj
2	aspoň	ADV	3	advmod:emph
3	něco	PRON	4	obj
4	ví	VERB	10	acl:relcl
5	o	ADP	7	case
6	kinetické	ADJ	7	amod
7	teorii	NOUN	4	obl:arg
8	tepla	NOUN	7	nmod
9	,	PUNCT	4	punct
10	ten	DET	12	nsubj
11	přinejmenším	ADV	12	advmod
12	znejistí	VERB	0	root
13	nad	ADP	14	case
14	tvrzením	NOUN	12	obl
15	homeopata	NOUN	14	nmod
16	,	PUNCT	21	punct
17	že	SCONJ	21	mark
18	"	PUNCT	21	punct
19	roztok	NOUN	21	nsubj:pass
20	se	PRON	21	expl:pass
21	musí	VERB	14	acl
22	před	ADP	23	case
23	použitím	NOUN	21	obl
24	protřepat	VERB	21	xcomp
25	,	PUNCT	30	punct
26	aby	_	None	_
27	aby	SCONJ	30	mark
28	by	AUX	30	aux
29	molekuly	NOUN	30	nsubj
30	léčiva	NOUN	28	nmod
31	získaly	VERB	21	advcl
32	dostatečnou	ADJ	32	amod
33	energii	NOUN	30	obj
34	"	PUNCT	21	punct
35	.	PUNCT	12	punct