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:
Snížení tržeb bylo podle něj způsobeno poklesem prodeje na Slovensko o 43 procent, zastavením dodávek do Ruska a snížením výroby ve vedlejších oborech.
Postion	Tokenization
1	Snížení
2	tržeb
3	bylo
4	podle
5	něj
6	způsobeno
7	poklesem
8	prodeje
9	na
10	Slovensko
11	o
12	43
13	procent
14	,
15	zastavením
16	dodávek
17	do
18	Ruska
19	a
20	snížením
21	výroby
22	ve
23	vedlejších
24	oborech
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Snížení	NOUN	6	nsubj:pass
2	tržeb	NOUN	1	nmod
3	bylo	AUX	6	aux:pass
4	podle	ADP	5	case
5	něj	PRON	6	obl
6	způsobeno	ADJ	0	root
7	poklesem	NOUN	6	obl:arg
8	prodeje	NOUN	7	nmod
9	na	ADP	10	case
10	Slovensko	PROPN	8	nmod
11	o	ADP	13	case
12	43	NUM	13	nummod:gov
13	procent	NOUN	7	nmod
14	,	PUNCT	15	punct
15	zastavením	NOUN	7	conj
16	dodávek	NOUN	15	nmod
17	do	ADP	18	case
18	Ruska	PROPN	16	nmod
19	a	CCONJ	20	cc
20	snížením	NOUN	7	conj
21	výroby	NOUN	20	nmod
22	ve	ADP	24	case
23	vedlejších	ADJ	24	amod
24	oborech	NOUN	21	nmod
25	.	PUNCT	6	punct