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:
Zatímco na podzim loňského roku s tvrzením, že "Stalin byl velký vůdce", souhlasilo jen 28 procent dotázaných, letos v létě již 49 procent.
Postion	Tokenization
1	Zatímco
2	na
3	podzim
4	loňského
5	roku
6	s
7	tvrzením
8	,
9	že
10	"
11	Stalin
12	byl
13	velký
14	vůdce
15	"
16	,
17	souhlasilo
18	jen
19	28
20	procent
21	dotázaných
22	,
23	letos
24	v
25	létě
26	již
27	49
28	procent
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Zatímco	SCONJ	17	mark
2	na	ADP	3	case
3	podzim	NOUN	17	obl
4	loňského	ADJ	5	amod
5	roku	NOUN	3	nmod
6	s	ADP	7	case
7	tvrzením	NOUN	17	obl:arg
8	,	PUNCT	14	punct
9	že	SCONJ	14	mark
10	"	PUNCT	14	punct
11	Stalin	PROPN	14	nsubj
12	byl	AUX	14	cop
13	velký	ADJ	14	amod
14	vůdce	NOUN	7	acl
15	"	PUNCT	14	punct
16	,	PUNCT	14	punct
17	souhlasilo	VERB	0	root
18	jen	PART	19	advmod:emph
19	28	NUM	20	nummod:gov
20	procent	NOUN	17	nsubj
21	dotázaných	ADJ	20	dep
22	,	PUNCT	17	punct
23	letos	ADV	17	dep
24	v	ADP	25	case
25	létě	NOUN	17	dep
26	již	ADV	27	advmod:emph
27	49	NUM	28	nummod:gov
28	procent	NOUN	17	dep
29	.	PUNCT	17	punct