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:
Neexistuje na světě krásnější země, než máme my, a neexistují větší možnosti v obuvnickém průmyslu v Evropě, než máme my, řekl při zahájení sympozia novinářům.
Postion	Tokenization
1	Neexistuje
2	na
3	světě
4	krásnější
5	země
6	,
7	než
8	máme
9	my
10	,
11	a
12	neexistují
13	větší
14	možnosti
15	v
16	obuvnickém
17	průmyslu
18	v
19	Evropě
20	,
21	než
22	máme
23	my
24	,
25	řekl
26	při
27	zahájení
28	sympozia
29	novinářům
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Neexistuje	VERB	25	ccomp
2	na	ADP	3	case
3	světě	NOUN	1	obl
4	krásnější	ADJ	5	amod
5	země	NOUN	1	nsubj
6	,	PUNCT	8	punct
7	než	SCONJ	8	mark
8	máme	VERB	4	advcl
9	my	PRON	8	nsubj
10	,	PUNCT	12	punct
11	a	CCONJ	12	cc
12	neexistují	VERB	1	conj
13	větší	ADJ	14	amod
14	možnosti	NOUN	12	nsubj
15	v	ADP	17	case
16	obuvnickém	ADJ	17	amod
17	průmyslu	NOUN	14	nmod
18	v	ADP	19	case
19	Evropě	PROPN	17	nmod
20	,	PUNCT	22	punct
21	než	SCONJ	22	mark
22	máme	VERB	13	advcl
23	my	PRON	22	nsubj
24	,	PUNCT	1	punct
25	řekl	VERB	0	root
26	při	ADP	27	case
27	zahájení	NOUN	25	obl
28	sympozia	NOUN	27	nmod
29	novinářům	NOUN	25	obl:arg
30	.	PUNCT	25	punct