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: V uplynulých pěti letech zaujímá Česká republika stabilně jedno z předních míst na pomyslném žebříčku, který řadí státy světa podle toho, o kolik nových zákonů byl v daném roce obohacen jejich právní řád.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	4	case
2	uplynulých	ADJ	4	amod
3	pěti	NUM	4	nummod
4	letech	NOUN	5	obl
5	zaujímá	VERB	0	root
6	Česká	ADJ	7	amod
7	republika	NOUN	5	nsubj
8	stabilně	ADV	5	advmod
9	jedno	NUM	5	obj
10	z	ADP	12	case
11	předních	ADJ	12	amod
12	míst	NOUN	9	nmod
13	na	ADP	15	case
14	pomyslném	ADJ	15	amod
15	žebříčku	NOUN	12	nmod
16	,	PUNCT	18	punct
17	který	DET	18	nsubj
18	řadí	VERB	15	acl:relcl
19	státy	NOUN	18	obj
20	světa	NOUN	19	nmod
21	podle	ADP	22	case
22	toho	DET	18	obl
23	,	PUNCT	32	punct
24	o	ADP	27	case
25	kolik	DET	27	det:numgov
26	nových	ADJ	27	amod
27	zákonů	NOUN	32	obl:arg
28	byl	AUX	32	aux:pass
29	v	ADP	31	case
30	daném	ADJ	31	amod
31	roce	NOUN	32	obl
32	obohacen	ADJ	22	amod
33	jejich	DET	35	det
34	právní	ADJ	35	amod
35	řád	NOUN	32	nsubj:pass
36	.	PUNCT	5	punct