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:
Průmyslová produkce se snížila o 38 procent, přičemž pokles byl zaznamenán ve více než třech čtvrtinách všech průmyslových podniků.
Postion	Tokenization
1	Průmyslová
2	produkce
3	se
4	snížila
5	o
6	38
7	procent
8	,
9	přičemž
10	pokles
11	byl
12	zaznamenán
13	ve
14	více
15	než
16	třech
17	čtvrtinách
18	všech
19	průmyslových
20	podniků
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Průmyslová	ADJ	2	amod
2	produkce	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	snížila	VERB	0	root
5	o	ADP	7	case
6	38	NUM	7	nummod:gov
7	procent	NOUN	4	obl
8	,	PUNCT	12	punct
9	přičemž	ADV	12	advmod
10	pokles	NOUN	12	nsubj
11	byl	AUX	12	cop
12	zaznamenán	ADJ	4	conj
13	ve	ADP	17	case
14	více	ADV	17	advmod
15	než	SCONJ	16	mark
16	třech	NUM	14	obl
17	čtvrtinách	NUM	12	obl
18	všech	DET	20	det
19	průmyslových	ADJ	20	amod
20	podniků	NOUN	17	nmod
21	.	PUNCT	4	punct