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:
Na pořad jednání se totiž vrátil zákon o umělém přerušení těhotenství, který už delší čas rozděluje nejen poslance, ale celou polskou veřejnost.
Postion	Tokenization
1	Na
2	pořad
3	jednání
4	se
5	totiž
6	vrátil
7	zákon
8	o
9	umělém
10	přerušení
11	těhotenství
12	,
13	který
14	už
15	delší
16	čas
17	rozděluje
18	nejen
19	poslance
20	,
21	ale
22	celou
23	polskou
24	veřejnost
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	pořad	NOUN	6	obl
3	jednání	NOUN	2	nmod
4	se	PRON	6	expl:pv
5	totiž	ADV	6	advmod
6	vrátil	VERB	0	root
7	zákon	NOUN	6	nsubj
8	o	ADP	10	case
9	umělém	ADJ	10	amod
10	přerušení	NOUN	7	nmod
11	těhotenství	NOUN	10	nmod
12	,	PUNCT	17	punct
13	který	DET	17	nsubj
14	už	ADV	15	advmod:emph
15	delší	ADJ	16	amod
16	čas	NOUN	17	obl
17	rozděluje	VERB	7	acl:relcl
18	nejen	PART	19	advmod:emph
19	poslance	NOUN	17	obj
20	,	PUNCT	24	punct
21	ale	CCONJ	24	cc
22	celou	ADJ	24	amod
23	polskou	ADJ	24	amod
24	veřejnost	NOUN	19	conj
25	.	PUNCT	6	punct