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:
Zájem zahraničních investorů je na jedné straně dán takovými skutečnostmi jako obrovské přírodní bohatství Ruska, trh se 180 miliony obyvatel nebo poměrně vysoce kvalifikovaná, a přitom levná pracovní síla.
Postion	Tokenization
1	Zájem
2	zahraničních
3	investorů
4	je
5	na
6	jedné
7	straně
8	dán
9	takovými
10	skutečnostmi
11	jako
12	obrovské
13	přírodní
14	bohatství
15	Ruska
16	,
17	trh
18	se
19	180
20	miliony
21	obyvatel
22	nebo
23	poměrně
24	vysoce
25	kvalifikovaná
26	,
27	a
28	přitom
29	levná
30	pracovní
31	síla
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Zájem	NOUN	8	nsubj:pass
2	zahraničních	ADJ	3	amod
3	investorů	NOUN	1	nmod
4	je	AUX	8	aux:pass
5	na	ADP	7	case
6	jedné	NUM	7	nummod
7	straně	NOUN	8	obl
8	dán	ADJ	0	root
9	takovými	DET	10	det
10	skutečnostmi	NOUN	8	obl:arg
11	jako	SCONJ	14	mark
12	obrovské	ADJ	14	amod
13	přírodní	ADJ	14	amod
14	bohatství	NOUN	10	dep
15	Ruska	PROPN	14	nmod
16	,	PUNCT	17	punct
17	trh	NOUN	14	conj
18	se	ADP	20	case
19	180	NUM	20	nummod
20	miliony	NOUN	17	nmod
21	obyvatel	NOUN	20	nmod
22	nebo	CCONJ	31	cc
23	poměrně	ADV	24	advmod
24	vysoce	ADV	25	advmod
25	kvalifikovaná	ADJ	31	amod
26	,	PUNCT	29	punct
27	a	CCONJ	29	cc
28	přitom	ADV	29	advmod
29	levná	ADJ	25	conj
30	pracovní	ADJ	31	amod
31	síla	NOUN	14	conj
32	.	PUNCT	8	punct