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:
Za schůdné řešení k vytváření nových pracovních příležitostí označilo 64 procent dotázaných Francouzů rozdělení konkrétních pracovních povinností mezi více osob - aniž by se to však dotklo výše nynějších mezd.
Postion	Tokenization
1	Za
2	schůdné
3	řešení
4	k
5	vytváření
6	nových
7	pracovních
8	příležitostí
9	označilo
10	64
11	procent
12	dotázaných
13	Francouzů
14	rozdělení
15	konkrétních
16	pracovních
17	povinností
18	mezi
19	více
20	osob
21	-
22	aniž
23	by
24	se
25	to
26	však
27	dotklo
28	výše
29	nynějších
30	mezd
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	3	case
2	schůdné	ADJ	3	amod
3	řešení	NOUN	9	obl:arg
4	k	ADP	5	case
5	vytváření	NOUN	3	nmod
6	nových	ADJ	8	amod
7	pracovních	ADJ	8	amod
8	příležitostí	NOUN	5	nmod
9	označilo	VERB	0	root
10	64	NUM	11	nummod:gov
11	procent	NOUN	9	nsubj
12	dotázaných	ADJ	13	amod
13	Francouzů	PROPN	11	nmod
14	rozdělení	NOUN	9	obj
15	konkrétních	ADJ	17	amod
16	pracovních	ADJ	17	amod
17	povinností	NOUN	14	nmod
18	mezi	ADP	19	case
19	více	ADV	14	advmod
20	osob	NOUN	19	nmod
21	-	PUNCT	27	punct
22	aniž	SCONJ	27	mark
23	by	AUX	27	aux
24	se	PRON	27	expl:pv
25	to	DET	27	nsubj
26	však	CCONJ	27	cc
27	dotklo	VERB	9	advcl
28	výše	NOUN	27	obl:arg
29	nynějších	ADJ	30	amod
30	mezd	NOUN	28	nmod
31	.	PUNCT	9	punct