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: Poslanec Pavel Seifer (LSU), jeden z předkladatelů zákona, se na rozdíl od ministra Dlouhého nedomnívá, že po zákazu freonů bude třeba vyřadit z domácností několik set tisíc ledniček a mrazicích boxů.
Position	Tokenization	UPOS	Head	Deprel
1	Poslanec	NOUN	19	nsubj
2	Pavel	PROPN	1	flat
3	Seifer	PROPN	1	flat
4	(	PUNCT	1	punct
5	LSU	PROPN	1	dep
6	)	PUNCT	1	punct
7	,	PUNCT	8	punct
8	jeden	NUM	1	appos
9	z	ADP	10	case
10	předkladatelů	NOUN	8	nmod
11	zákona	NOUN	10	nmod
12	,	PUNCT	8	punct
13	se	PRON	19	expl:pv
14	na	ADP	17	case
15	rozdíl	NOUN	14	fixed
16	od	ADP	14	fixed
17	ministra	NOUN	19	obl
18	Dlouhého	PROPN	17	flat
19	nedomnívá	VERB	0	root
20	,	PUNCT	26	punct
21	že	SCONJ	26	mark
22	po	ADP	23	case
23	zákazu	NOUN	26	obl
24	freonů	NOUN	23	nmod
25	bude	AUX	26	cop
26	třeba	ADJ	19	ccomp
27	vyřadit	VERB	26	csubj
28	z	ADP	29	case
29	domácností	NOUN	27	obl
30	několik	DET	31	det:numgov
31	set	NOUN	27	obj
32	tisíc	NUM	33	nummod:gov
33	ledniček	NOUN	31	nmod
34	a	CCONJ	36	cc
35	mrazicích	ADJ	36	amod
36	boxů	NOUN	33	conj
37	.	PUNCT	19	punct