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:
Mezi největší balíky patří opět akcie pražských hotelů Forum a Panorama, hotelů a restaurací v Mostě a Karlových Varech, cestovní kanceláře Čedok a lázní Bohdaneč.
Postion	Tokenization
1	Mezi
2	největší
3	balíky
4	patří
5	opět
6	akcie
7	pražských
8	hotelů
9	Forum
10	a
11	Panorama
12	,
13	hotelů
14	a
15	restaurací
16	v
17	Mostě
18	a
19	Karlových
20	Varech
21	,
22	cestovní
23	kanceláře
24	Čedok
25	a
26	lázní
27	Bohdaneč
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Mezi	ADP	3	case
2	největší	ADJ	3	amod
3	balíky	NOUN	4	obl
4	patří	VERB	0	root
5	opět	ADV	4	advmod
6	akcie	NOUN	4	nsubj
7	pražských	ADJ	8	amod
8	hotelů	NOUN	6	nmod
9	Forum	NOUN	8	nmod
10	a	CCONJ	11	cc
11	Panorama	PROPN	9	conj
12	,	PUNCT	13	punct
13	hotelů	NOUN	8	conj
14	a	CCONJ	15	cc
15	restaurací	NOUN	13	conj
16	v	ADP	17	case
17	Mostě	PROPN	13	nmod
18	a	CCONJ	20	cc
19	Karlových	ADJ	20	amod
20	Varech	PROPN	17	conj
21	,	PUNCT	23	punct
22	cestovní	ADJ	23	amod
23	kanceláře	NOUN	8	conj
24	Čedok	PROPN	23	nmod
25	a	CCONJ	26	cc
26	lázní	NOUN	23	conj
27	Bohdaneč	PROPN	26	nmod
28	.	PUNCT	4	punct