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:
Hodnota průmyslové výroby v Kyrgyzstánu se v lednu meziročně snížila o 21 procent, přičemž bylo mimo provoz více než 120 průmyslových podniků v zemi - 35 procent celkového počtu.
Postion	Tokenization
1	Hodnota
2	průmyslové
3	výroby
4	v
5	Kyrgyzstánu
6	se
7	v
8	lednu
9	meziročně
10	snížila
11	o
12	21
13	procent
14	,
15	přičemž
16	bylo
17	mimo
18	provoz
19	více
20	než
21	120
22	průmyslových
23	podniků
24	v
25	zemi
26	-
27	35
28	procent
29	celkového
30	počtu
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Hodnota	NOUN	10	nsubj
2	průmyslové	ADJ	3	amod
3	výroby	NOUN	1	nmod
4	v	ADP	5	case
5	Kyrgyzstánu	PROPN	3	nmod
6	se	PRON	10	expl:pv
7	v	ADP	8	case
8	lednu	NOUN	10	obl
9	meziročně	ADV	10	advmod
10	snížila	VERB	0	root
11	o	ADP	13	case
12	21	NUM	13	nummod:gov
13	procent	NOUN	10	obl
14	,	PUNCT	16	punct
15	přičemž	ADV	16	advmod
16	bylo	VERB	10	conj
17	mimo	ADP	18	case
18	provoz	NOUN	16	obl
19	více	ADV	16	nsubj
20	než	SCONJ	21	mark
21	120	NUM	19	obl
22	průmyslových	ADJ	23	amod
23	podniků	NOUN	19	nmod
24	v	ADP	25	case
25	zemi	NOUN	23	nmod
26	-	PUNCT	27	punct
27	35	NUM	28	nummod:gov
28	procent	NOUN	19	appos
29	celkového	ADJ	30	amod
30	počtu	NOUN	28	nmod
31	.	PUNCT	10	punct