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:
Sedmnáct set korun bude stát americké investory, kteří chtějí stavět školu a rodinné domky pro americkou komunitu v Praze Nebušicích, každý metr pozemku koupeného od města.
Postion	Tokenization
1	Sedmnáct
2	set
3	korun
4	bude
5	stát
6	americké
7	investory
8	,
9	kteří
10	chtějí
11	stavět
12	školu
13	a
14	rodinné
15	domky
16	pro
17	americkou
18	komunitu
19	v
20	Praze
21	Nebušicích
22	,
23	každý
24	metr
25	pozemku
26	koupeného
27	od
28	města
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Sedmnáct	NUM	2	nummod:gov
2	set	NOUN	5	iobj
3	korun	NOUN	1	nmod
4	bude	AUX	5	aux
5	stát	VERB	0	root
6	americké	ADJ	7	amod
7	investory	NOUN	5	obj
8	,	PUNCT	10	punct
9	kteří	DET	10	nsubj
10	chtějí	VERB	7	acl:relcl
11	stavět	VERB	10	xcomp
12	školu	NOUN	11	obj
13	a	CCONJ	15	cc
14	rodinné	ADJ	15	amod
15	domky	NOUN	12	conj
16	pro	ADP	18	case
17	americkou	ADJ	18	amod
18	komunitu	NOUN	12	nmod
19	v	ADP	20	case
20	Praze	PROPN	11	obl
21	Nebušicích	PROPN	20	nmod
22	,	PUNCT	10	punct
23	každý	DET	24	det
24	metr	NOUN	5	nsubj
25	pozemku	NOUN	24	nmod
26	koupeného	ADJ	25	amod
27	od	ADP	28	case
28	města	NOUN	26	obl:arg
29	.	PUNCT	5	punct