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: Při experimentu, kdy postupně dopadá tisíc elektronů při zavřené druhé a pak tisíc elektronů při zavřené první štěrbině a při dalším experimentu tisíc elektronů při obou štěrbinách otevřených, budou se obrazy stop elektronů na stínidle za přepážkou lišit.
Position	Tokenization	UPOS	Head	Deprel
1	Při	ADP	2	case
2	experimentu	NOUN	40	nmod
3	,	PUNCT	6	punct
4	kdy	ADV	6	advmod
5	postupně	ADV	6	advmod
6	dopadá	VERB	2	acl:relcl
7	tisíc	NOUN	6	nsubj
8	elektronů	NOUN	7	nmod
9	při	ADP	10	case
10	zavřené	ADJ	6	amod
11	druhé	ADJ	10	dep
12	_	_	None	_
13	a	CCONJ	13	cc
14	pak	ADV	6	conj
15	tisíc	NOUN	13	orphan
16	elektronů	NOUN	14	nmod
17	při	ADP	19	case
18	zavřené	ADJ	19	amod
19	první	ADJ	19	amod
20	štěrbině	NOUN	13	orphan
21	_	_	None	_
22	a	CCONJ	23	cc
23	při	ADP	23	case
24	dalším	ADJ	23	amod
25	experimentu	NOUN	2	conj
26	tisíc	NOUN	23	orphan
27	elektronů	NOUN	24	nmod
28	při	ADP	28	case
29	obou	NUM	28	nummod
30	štěrbinách	NOUN	23	orphan
31	otevřených	ADJ	28	amod
32	,	PUNCT	2	punct
33	budou	AUX	40	aux
34	se	PRON	40	expl:pv
35	obrazy	NOUN	40	nsubj
36	stop	NOUN	33	nmod
37	elektronů	NOUN	34	nmod
38	na	ADP	37	case
39	stínidle	NOUN	33	nmod
40	za	ADP	39	case
41	přepážkou	NOUN	37	nmod
42	lišit	VERB	0	root
43	.	PUNCT	40	punct