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:
Česko-slovenský týdeník Mosty, vycházející v Bratislavě, uspořádal nedávno v Luhačovicích spolu s Nadací Heinricha Bölla diskusní fórum, na němž se setkaly osobnosti z České a Slovenské republiky.
Postion	Tokenization
1	Česko
2	-
3	slovenský
4	týdeník
5	Mosty
6	,
7	vycházející
8	v
9	Bratislavě
10	,
11	uspořádal
12	nedávno
13	v
14	Luhačovicích
15	spolu
16	s
17	Nadací
18	Heinricha
19	Bölla
20	diskusní
21	fórum
22	,
23	na
24	němž
25	se
26	setkaly
27	osobnosti
28	z
29	České
30	a
31	Slovenské
32	republiky
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Česko	ADJ	4	amod
2	-	PUNCT	3	punct
3	slovenský	ADJ	1	conj
4	týdeník	NOUN	11	nsubj
5	Mosty	NOUN	4	nmod
6	,	PUNCT	7	punct
7	vycházející	ADJ	4	amod
8	v	ADP	9	case
9	Bratislavě	PROPN	7	obl
10	,	PUNCT	7	punct
11	uspořádal	VERB	0	root
12	nedávno	ADV	11	advmod
13	v	ADP	14	case
14	Luhačovicích	PROPN	11	obl
15	spolu	ADV	17	case
16	s	ADP	15	fixed
17	Nadací	NOUN	11	obl
18	Heinricha	PROPN	17	nmod
19	Bölla	PROPN	18	flat
20	diskusní	ADJ	21	amod
21	fórum	NOUN	11	obj
22	,	PUNCT	26	punct
23	na	ADP	24	case
24	němž	PRON	26	obl
25	se	PRON	26	expl:pv
26	setkaly	VERB	21	acl:relcl
27	osobnosti	NOUN	26	nsubj
28	z	ADP	32	case
29	České	ADJ	32	amod
30	a	CCONJ	31	cc
31	Slovenské	ADJ	29	conj
32	republiky	NOUN	27	nmod
33	.	PUNCT	11	punct