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:
Běžné pivní láhve by se podle něho měly vykupovat bez problémů a na vykupování speciálních firemních lahví by se prodejci a výrobci měli dohodnout smluvně.
Postion	Tokenization
1	Běžné
2	pivní
3	láhve
4	by
5	se
6	podle
7	něho
8	měly
9	vykupovat
10	bez
11	problémů
12	a
13	na
14	vykupování
15	speciálních
16	firemních
17	lahví
18	by
19	se
20	prodejci
21	a
22	výrobci
23	měli
24	dohodnout
25	smluvně
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Běžné	ADJ	3	amod
2	pivní	ADJ	3	amod
3	láhve	NOUN	8	nsubj:pass
4	by	AUX	8	aux
5	se	PRON	8	expl:pass
6	podle	ADP	7	case
7	něho	PRON	8	obl
8	měly	VERB	0	root
9	vykupovat	VERB	8	xcomp
10	bez	ADP	11	case
11	problémů	NOUN	9	obl
12	a	CCONJ	23	cc
13	na	ADP	14	case
14	vykupování	NOUN	24	obl:arg
15	speciálních	ADJ	17	amod
16	firemních	ADJ	17	amod
17	lahví	NOUN	14	nmod
18	by	AUX	23	aux
19	se	PRON	24	expl:pv
20	prodejci	NOUN	23	nsubj
21	a	CCONJ	22	cc
22	výrobci	NOUN	20	conj
23	měli	VERB	8	conj
24	dohodnout	VERB	23	xcomp
25	smluvně	ADV	24	advmod
26	.	PUNCT	8	punct