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:
Podle posledního průzkumu na Pankráci 94 procent obyvatel nesouhlasí s tím, aby Hotelinvest zbudoval luxusní hotel uprostřed jejich sídliště, kde schází síť obchodů a služeb.
Postion	Tokenization
1	Podle
2	posledního
3	průzkumu
4	na
5	Pankráci
6	94
7	procent
8	obyvatel
9	nesouhlasí
10	s
11	tím
12	,
13	aby
14	aby
15	by
16	Hotelinvest
17	zbudoval
18	luxusní
19	hotel
20	uprostřed
21	jejich
22	sídliště
23	,
24	kde
25	schází
26	síť
27	obchodů
28	a
29	služeb
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	posledního	ADJ	3	amod
3	průzkumu	NOUN	9	obl
4	na	ADP	5	case
5	Pankráci	PROPN	3	nmod
6	94	NUM	7	nummod:gov
7	procent	NOUN	9	nsubj
8	obyvatel	NOUN	7	nmod
9	nesouhlasí	VERB	0	root
10	s	ADP	11	case
11	tím	DET	9	obl:arg
12	,	PUNCT	16	punct
13	aby	_	None	_
14	aby	SCONJ	16	mark
15	by	AUX	16	aux
16	Hotelinvest	NOUN	16	nsubj
17	zbudoval	VERB	11	acl
18	luxusní	ADJ	18	amod
19	hotel	NOUN	16	obj
20	uprostřed	ADV	21	case
21	jejich	DET	21	det
22	sídliště	NOUN	16	obl
23	,	PUNCT	24	punct
24	kde	ADV	24	advmod
25	schází	VERB	21	acl:relcl
26	síť	NOUN	24	nsubj
27	obchodů	NOUN	25	nmod
28	a	CCONJ	28	cc
29	služeb	NOUN	26	conj
30	.	PUNCT	9	punct