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:
Svaz by měl do konce roku vydat katalog Karlových Varů s veškerými údaji o městě a v březnu se má zúčastnit největší světové výstavy lázeňství a cestovního ruchu v Berlíně.
Postion	Tokenization
1	Svaz
2	by
3	měl
4	do
5	konce
6	roku
7	vydat
8	katalog
9	Karlových
10	Varů
11	s
12	veškerými
13	údaji
14	o
15	městě
16	a
17	v
18	březnu
19	se
20	má
21	zúčastnit
22	největší
23	světové
24	výstavy
25	lázeňství
26	a
27	cestovního
28	ruchu
29	v
30	Berlíně
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Svaz	NOUN	3	nsubj
2	by	AUX	3	aux
3	měl	VERB	0	root
4	do	ADP	5	case
5	konce	NOUN	3	obl
6	roku	NOUN	5	nmod
7	vydat	VERB	3	xcomp
8	katalog	NOUN	7	obj
9	Karlových	ADJ	10	amod
10	Varů	PROPN	8	nmod
11	s	ADP	13	case
12	veškerými	PRON	13	nmod
13	údaji	NOUN	8	nmod
14	o	ADP	15	case
15	městě	NOUN	13	nmod
16	a	CCONJ	20	cc
17	v	ADP	18	case
18	březnu	NOUN	20	obl
19	se	PRON	21	expl:pv
20	má	VERB	3	conj
21	zúčastnit	VERB	20	xcomp
22	největší	ADJ	24	amod
23	světové	ADJ	24	amod
24	výstavy	NOUN	21	obl:arg
25	lázeňství	NOUN	24	nmod
26	a	CCONJ	28	cc
27	cestovního	ADJ	28	amod
28	ruchu	NOUN	25	conj
29	v	ADP	30	case
30	Berlíně	PROPN	24	nmod
31	.	PUNCT	3	punct