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: Touha rychle zbohatnout se tu projevuje překotným střídáním nájemníků mnoha penziónů a restaurací, dvojími cenami - pro domácí a cizince (osmdesát procent hostů je ze zahraničí) a nezájmem o život obce, jeho minulost a tradici zvlášť.
Position	Tokenization	UPOS	Head	Deprel
1	Touha	NOUN	6	nsubj
2	rychle	ADV	3	advmod
3	zbohatnout	VERB	1	acl
4	se	PRON	6	expl:pv
5	tu	ADV	6	advmod
6	projevuje	VERB	0	root
7	překotným	ADJ	8	amod
8	střídáním	NOUN	6	obl
9	nájemníků	NOUN	8	nmod
10	mnoha	DET	11	det:nummod
11	penziónů	NOUN	9	nmod
12	a	CCONJ	13	cc
13	restaurací	NOUN	11	conj
14	,	PUNCT	16	punct
15	dvojími	ADJ	16	amod
16	cenami	NOUN	8	conj
17	-	PUNCT	19	punct
18	pro	ADP	19	case
19	domácí	NOUN	16	nmod
20	a	CCONJ	21	cc
21	cizince	NOUN	19	conj
22	(	PUNCT	26	punct
23	osmdesát	NUM	24	nummod:gov
24	procent	NOUN	26	nsubj
25	hostů	NOUN	24	nmod
26	je	VERB	16	parataxis
27	ze	ADP	28	case
28	zahraničí	NOUN	26	obl
29	)	PUNCT	26	punct
30	a	CCONJ	31	cc
31	nezájmem	NOUN	8	conj
32	o	ADP	33	case
33	život	NOUN	31	nmod
34	obce	NOUN	33	nmod
35	,	PUNCT	37	punct
36	jeho	DET	37	det
37	minulost	NOUN	33	conj
38	a	CCONJ	39	cc
39	tradici	NOUN	33	conj
40	zvlášť	ADV	39	advmod:emph
41	.	PUNCT	6	punct