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:
Kosa padla na kámen v okamžiku, kdy se z jednoho z diváků vyklubal tajný policista, který celou produkci rázně ukončil a lékaře-promítače zatkl.
Postion	Tokenization
1	Kosa
2	padla
3	na
4	kámen
5	v
6	okamžiku
7	,
8	kdy
9	se
10	z
11	jednoho
12	z
13	diváků
14	vyklubal
15	tajný
16	policista
17	,
18	který
19	celou
20	produkci
21	rázně
22	ukončil
23	a
24	lékaře
25	-
26	promítače
27	zatkl
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Kosa	NOUN	2	nsubj
2	padla	VERB	0	root
3	na	ADP	4	case
4	kámen	NOUN	2	obl
5	v	ADP	6	case
6	okamžiku	NOUN	2	obl
7	,	PUNCT	14	punct
8	kdy	ADV	14	advmod
9	se	PRON	14	expl:pv
10	z	ADP	11	case
11	jednoho	NUM	14	obl
12	z	ADP	13	case
13	diváků	NOUN	11	nmod
14	vyklubal	VERB	6	acl:relcl
15	tajný	ADJ	16	amod
16	policista	NOUN	14	nsubj
17	,	PUNCT	22	punct
18	který	DET	22	nsubj
19	celou	ADJ	20	amod
20	produkci	NOUN	22	obj
21	rázně	ADV	22	advmod
22	ukončil	VERB	16	acl:relcl
23	a	CCONJ	27	cc
24	lékaře	NOUN	27	obj
25	-	PUNCT	26	punct
26	promítače	NOUN	24	appos
27	zatkl	VERB	22	conj
28	.	PUNCT	2	punct