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:
Chodil jsem do Divadla Járy Cimrmana, které bylo ohniskem tiché solidarity a kde se sice to nejkrásnější odehrávalo v hledišti, ne na jevišti- ale podněcovalo to.
Postion	Tokenization
1	Chodil
2	jsem
3	do
4	Divadla
5	Járy
6	Cimrmana
7	,
8	které
9	bylo
10	ohniskem
11	tiché
12	solidarity
13	a
14	kde
15	se
16	sice
17	to
18	nejkrásnější
19	odehrávalo
20	v
21	hledišti
22	,
23	ne
24	na
25	jevišti
26	-
27	ale
28	podněcovalo
29	to
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Chodil	VERB	0	root
2	jsem	AUX	1	aux
3	do	ADP	4	case
4	Divadla	NOUN	1	obl
5	Járy	PROPN	4	nmod
6	Cimrmana	PROPN	5	flat
7	,	PUNCT	10	punct
8	které	DET	10	nsubj
9	bylo	AUX	10	cop
10	ohniskem	NOUN	5	acl:relcl
11	tiché	ADJ	12	amod
12	solidarity	NOUN	10	nmod
13	a	CCONJ	19	cc
14	kde	ADV	19	advmod
15	se	PRON	19	expl:pv
16	sice	ADV	19	cc
17	to	DET	19	nsubj
18	nejkrásnější	ADJ	17	amod
19	odehrávalo	VERB	10	conj
20	v	ADP	21	case
21	hledišti	NOUN	19	obl
22	,	PUNCT	25	punct
23	ne	PART	25	advmod:emph
24	na	ADP	25	case
25	jevišti	NOUN	21	conj
26	-	PUNCT	28	punct
27	ale	CCONJ	28	cc
28	podněcovalo	VERB	19	conj
29	to	DET	28	nsubj
30	.	PUNCT	1	punct