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:
Ve stejném období loňského roku registroval olomoucký pracovní úřad 5168 lidí bez práce ( 4.3 procenta), z nichž ženy tvořily více než polovinu (2633).
Postion	Tokenization
1	Ve
2	stejném
3	období
4	loňského
5	roku
6	registroval
7	olomoucký
8	pracovní
9	úřad
10	5168
11	lidí
12	bez
13	práce
14	(
15	4.3
16	procenta
17	)
18	,
19	z
20	nichž
21	ženy
22	tvořily
23	více
24	než
25	polovinu
26	(
27	2633
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	3	case
2	stejném	ADJ	3	amod
3	období	NOUN	6	obl
4	loňského	ADJ	5	amod
5	roku	NOUN	3	nmod
6	registroval	VERB	0	root
7	olomoucký	ADJ	9	amod
8	pracovní	ADJ	9	amod
9	úřad	NOUN	6	nsubj
10	5168	NUM	11	nummod:gov
11	lidí	NOUN	6	obj
12	bez	ADP	13	case
13	práce	NOUN	11	nmod
14	(	PUNCT	16	punct
15	4.3	NUM	16	nummod:gov
16	procenta	NOUN	10	appos
17	)	PUNCT	16	punct
18	,	PUNCT	22	punct
19	z	ADP	20	case
20	nichž	PRON	22	obl
21	ženy	NOUN	22	nsubj
22	tvořily	VERB	10	acl:relcl
23	více	ADV	22	obj
24	než	SCONJ	25	mark
25	polovinu	NOUN	23	obl
26	(	PUNCT	27	punct
27	2633	NUM	23	appos
28	)	PUNCT	27	punct
29	.	PUNCT	6	punct