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 veřejného mínění, který provedl STEM, překročilo potřebnou pětiprocentní hranici volebních preferencí pro vstup do parlamentu jen pět stran.
Postion	Tokenization
1	Podle
2	posledního
3	průzkumu
4	veřejného
5	mínění
6	,
7	který
8	provedl
9	STEM
10	,
11	překročilo
12	potřebnou
13	pětiprocentní
14	hranici
15	volebních
16	preferencí
17	pro
18	vstup
19	do
20	parlamentu
21	jen
22	pět
23	stran
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	posledního	ADJ	3	amod
3	průzkumu	NOUN	11	obl
4	veřejného	ADJ	5	amod
5	mínění	NOUN	3	nmod
6	,	PUNCT	8	punct
7	který	DET	8	obj
8	provedl	VERB	3	acl:relcl
9	STEM	PROPN	8	nsubj
10	,	PUNCT	8	punct
11	překročilo	VERB	0	root
12	potřebnou	ADJ	14	amod
13	pětiprocentní	ADJ	14	amod
14	hranici	NOUN	11	obj
15	volebních	ADJ	16	amod
16	preferencí	NOUN	14	nmod
17	pro	ADP	18	case
18	vstup	NOUN	14	nmod
19	do	ADP	20	case
20	parlamentu	NOUN	18	nmod
21	jen	PART	22	advmod:emph
22	pět	NUM	23	nummod:gov
23	stran	NOUN	11	nsubj
24	.	PUNCT	11	punct