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:
Celých 31 % podniků předpokládá pokles zaměstnanosti od jednoho do pěti procent a dvě procenta firem v rozsahu od šesti do deseti procent.
Postion	Tokenization
1	Celých
2	31
3	%
4	podniků
5	předpokládá
6	pokles
7	zaměstnanosti
8	od
9	jednoho
10	do
11	pěti
12	procent
13	_
14	a
15	dvě
16	procenta
17	firem
18	v
19	rozsahu
20	od
21	šesti
22	do
23	deseti
24	procent
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Celých	ADJ	2	amod
2	31	NUM	5	nsubj
3	%	SYM	2	nmod
4	podniků	NOUN	3	nmod
5	předpokládá	VERB	0	root
6	pokles	NOUN	5	obj
7	zaměstnanosti	NOUN	6	nmod
8	od	ADP	9	case
9	jednoho	NUM	6	dep
10	do	ADP	12	case
11	pěti	NUM	12	nummod
12	procent	NOUN	6	nmod
13	_	_	None	_
14	a	CCONJ	15	cc
15	dvě	NUM	15	nummod
16	procenta	NOUN	5	conj
17	firem	NOUN	15	nmod
18	v	ADP	18	case
19	rozsahu	NOUN	15	orphan
20	od	ADP	20	case
21	šesti	NUM	18	dep
22	do	ADP	23	case
23	deseti	NUM	23	nummod
24	procent	NOUN	18	nmod
25	.	PUNCT	5	punct