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 text: Nejdražší zahraniční hotely, kde přespávají většinou obchodníci, jsou podle zahraničních materiálů v Tokiu, kde jedna noc stojí v přepočtu průměrně 401 marek, v New Yorku 303 marek, Curychu 296 marek a v Paříži 257 marek a ve Washingtonu 266 DEM.
Position	Tokenization	UPOS	Head	Deprel
1	Nejdražší	ADJ	3	amod
2	zahraniční	ADJ	3	amod
3	hotely	NOUN	10	nsubj
4	,	PUNCT	6	punct
5	kde	ADV	6	advmod
6	přespávají	VERB	3	acl:relcl
7	většinou	ADV	6	advmod
8	obchodníci	NOUN	6	nsubj
9	,	PUNCT	6	punct
10	jsou	VERB	0	root
11	podle	ADP	13	case
12	zahraničních	ADJ	13	amod
13	materiálů	NOUN	10	obl
14	v	ADP	15	case
15	Tokiu	PROPN	10	obl
16	,	PUNCT	20	punct
17	kde	ADV	20	advmod
18	jedna	NUM	19	nummod
19	noc	NOUN	20	nsubj
20	stojí	VERB	15	acl:relcl
21	v	ADP	22	case
22	přepočtu	NOUN	20	obl
23	průměrně	ADV	20	advmod
24	401	NUM	25	nummod:gov
25	marek	NOUN	20	obj
26	_	_	None	_
27	,	PUNCT	29	punct
28	v	ADP	29	case
29	New	ADJ	29	amod
30	Yorku	PROPN	10	conj
31	303	NUM	31	nummod:gov
32	marek	NOUN	29	dep
33	,	PUNCT	29	punct
34	Curychu	PROPN	29	orphan
35	296	NUM	35	nummod:gov
36	marek	NOUN	33	dep
37	a	CCONJ	29	cc
38	v	ADP	38	case
39	Paříži	PROPN	29	orphan
40	257	NUM	40	nummod:gov
41	marek	NOUN	38	dep
42	a	CCONJ	29	cc
43	ve	ADP	43	case
44	Washingtonu	PROPN	29	orphan
45	266	NUM	43	dep
46	DEM	NOUN	44	nmod
47	.	PUNCT	10	punct