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: Myslí si pan Poledne, že hladový člověk ve vlaku pozná, že servírovaná krmě je zkažená, že v obcích se dvěma obchody bude nespokojený zákazník vážit cestu do sousední obce za poctivějším obchodníkem?
Position	Tokenization	UPOS	Head	Deprel
1	Myslí	VERB	0	root
2	si	PRON	1	expl:pv
3	pan	NOUN	1	nsubj
4	Poledne	PROPN	3	flat
5	,	PUNCT	11	punct
6	že	SCONJ	11	mark
7	hladový	ADJ	8	amod
8	člověk	NOUN	11	nsubj
9	ve	ADP	10	case
10	vlaku	NOUN	8	nmod
11	pozná	VERB	1	ccomp
12	,	PUNCT	17	punct
13	že	SCONJ	17	mark
14	servírovaná	ADJ	15	amod
15	krmě	NOUN	17	nsubj
16	je	AUX	17	cop
17	zkažená	ADJ	11	ccomp
18	,	PUNCT	28	punct
19	že	SCONJ	28	mark
20	v	ADP	21	case
21	obcích	NOUN	28	obl
22	se	ADP	24	case
23	dvěma	NUM	24	nummod
24	obchody	NOUN	21	nmod
25	bude	AUX	28	aux
26	nespokojený	ADJ	27	amod
27	zákazník	NOUN	28	nsubj
28	vážit	VERB	11	conj
29	cestu	NOUN	28	obj
30	do	ADP	32	case
31	sousední	ADJ	32	amod
32	obce	NOUN	29	nmod
33	za	ADP	35	case
34	poctivějším	ADJ	35	amod
35	obchodníkem	NOUN	29	nmod
36	?	PUNCT	1	punct