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:
Tyto zákony ovšem nejsou v zahraničí hodnoceny jako příliš stimulativní pro zahraniční podnikatele, neboť jim dovoluje maximálně 49% podíl v místních firmách a neumožňuje nákup pozemků.
Postion	Tokenization
1	Tyto
2	zákony
3	ovšem
4	nejsou
5	v
6	zahraničí
7	hodnoceny
8	jako
9	příliš
10	stimulativní
11	pro
12	zahraniční
13	podnikatele
14	,
15	neboť
16	jim
17	dovoluje
18	maximálně
19	49
20	%
21	podíl
22	v
23	místních
24	firmách
25	a
26	neumožňuje
27	nákup
28	pozemků
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Tyto	DET	2	det
2	zákony	NOUN	7	nsubj:pass
3	ovšem	CCONJ	7	cc
4	nejsou	AUX	7	aux:pass
5	v	ADP	6	case
6	zahraničí	NOUN	7	obl
7	hodnoceny	ADJ	0	root
8	jako	SCONJ	10	mark
9	příliš	ADV	10	advmod
10	stimulativní	ADJ	2	xcomp
11	pro	ADP	13	case
12	zahraniční	ADJ	13	amod
13	podnikatele	NOUN	10	obl
14	,	PUNCT	17	punct
15	neboť	CCONJ	17	cc
16	jim	PRON	17	obl:arg
17	dovoluje	VERB	7	conj
18	maximálně	ADV	20	advmod:emph
19	49	NUM	20	nummod
20	%	SYM	21	nmod
21	podíl	NOUN	17	obj
22	v	ADP	24	case
23	místních	ADJ	24	amod
24	firmách	NOUN	21	nmod
25	a	CCONJ	26	cc
26	neumožňuje	VERB	17	conj
27	nákup	NOUN	26	obj
28	pozemků	NOUN	27	nmod
29	.	PUNCT	7	punct