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 text: Ředitel Michal Běhounek LN řekl , že placení učebnic nepovažuje za přílišnou zátěž rodinných rozpočtů už proto , že si studenti budou moci použité knihy prodávat mezi sebou za zlomek původní ceny .
Position	Tokenization	UPOS	Head	Deprel
1	Ředitel	NOUN	5	nsubj
2	Michal	PROPN	1	flat
3	Běhounek	PROPN	1	flat
4	LN	PROPN	5	iobj
5	řekl	VERB	0	root
6	,	PUNCT	10	punct
7	že	SCONJ	10	mark
8	placení	NOUN	10	obj
9	učebnic	NOUN	8	nmod
10	nepovažuje	VERB	5	ccomp
11	za	ADP	13	case
12	přílišnou	ADJ	13	amod
13	zátěž	NOUN	10	obl:arg
14	rodinných	ADJ	15	amod
15	rozpočtů	NOUN	13	nmod
16	už	ADV	17	advmod:emph
17	proto	ADV	10	advmod
18	,	PUNCT	23	punct
19	že	SCONJ	23	mark
20	si	PRON	26	obl:arg
21	studenti	NOUN	23	nsubj
22	budou	AUX	23	aux
23	moci	VERB	10	advcl
24	použité	ADJ	25	amod
25	knihy	NOUN	26	obj
26	prodávat	VERB	23	xcomp
27	mezi	ADP	28	case
28	sebou	PRON	26	obl
29	za	ADP	30	case
30	zlomek	NOUN	26	obl
31	původní	ADJ	32	amod
32	ceny	NOUN	30	nmod
33	.	PUNCT	5	punct