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:
Tento podnik, jak LN informoval jeho ředitel Jiří Volek, reguluje sběrovou politiku podle požadavku odběratelů, protože z finančních důvodů není schopen papír vykupovat na sklad.
Postion	Tokenization
1	Tento
2	podnik
3	,
4	jak
5	LN
6	informoval
7	jeho
8	ředitel
9	Jiří
10	Volek
11	,
12	reguluje
13	sběrovou
14	politiku
15	podle
16	požadavku
17	odběratelů
18	,
19	protože
20	z
21	finančních
22	důvodů
23	není
24	schopen
25	papír
26	vykupovat
27	na
28	sklad
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Tento	DET	2	det
2	podnik	NOUN	12	nsubj
3	,	PUNCT	6	punct
4	jak	ADV	6	advmod
5	LN	PROPN	6	obj
6	informoval	VERB	12	parataxis
7	jeho	DET	8	det
8	ředitel	NOUN	6	nsubj
9	Jiří	PROPN	8	flat
10	Volek	PROPN	8	flat
11	,	PUNCT	6	punct
12	reguluje	VERB	0	root
13	sběrovou	ADJ	14	amod
14	politiku	NOUN	12	obj
15	podle	ADP	16	case
16	požadavku	NOUN	12	obl
17	odběratelů	NOUN	16	nmod
18	,	PUNCT	24	punct
19	protože	SCONJ	24	mark
20	z	ADP	22	case
21	finančních	ADJ	22	amod
22	důvodů	NOUN	24	obl
23	není	AUX	24	cop
24	schopen	ADJ	12	advcl
25	papír	NOUN	26	obj
26	vykupovat	VERB	24	xcomp
27	na	ADP	28	case
28	sklad	NOUN	26	obl
29	.	PUNCT	12	punct