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:
Zájemci o koncert, kteří neuspěli v mimopražských předprodejích, mohou vstupenky získat ve speciálních stáncích na Staroměstském náměstí, Václavském náměstí a u Karlova mostu v Praze.
Postion	Tokenization
1	Zájemci
2	o
3	koncert
4	,
5	kteří
6	neuspěli
7	v
8	mimopražských
9	předprodejích
10	,
11	mohou
12	vstupenky
13	získat
14	ve
15	speciálních
16	stáncích
17	na
18	Staroměstském
19	náměstí
20	,
21	Václavském
22	náměstí
23	a
24	u
25	Karlova
26	mostu
27	v
28	Praze
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Zájemci	NOUN	11	nsubj
2	o	ADP	3	case
3	koncert	NOUN	1	nmod
4	,	PUNCT	6	punct
5	kteří	DET	6	nsubj
6	neuspěli	VERB	1	acl:relcl
7	v	ADP	9	case
8	mimopražských	ADJ	9	amod
9	předprodejích	NOUN	6	obl
10	,	PUNCT	6	punct
11	mohou	VERB	0	root
12	vstupenky	NOUN	13	obj
13	získat	VERB	11	xcomp
14	ve	ADP	16	case
15	speciálních	ADJ	16	amod
16	stáncích	NOUN	13	obl
17	na	ADP	19	case
18	Staroměstském	ADJ	19	amod
19	náměstí	NOUN	16	nmod
20	,	PUNCT	22	punct
21	Václavském	ADJ	22	amod
22	náměstí	NOUN	19	conj
23	a	CCONJ	26	cc
24	u	ADP	26	case
25	Karlova	ADJ	26	amod
26	mostu	NOUN	19	conj
27	v	ADP	28	case
28	Praze	PROPN	26	nmod
29	.	PUNCT	11	punct