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:
Za třetí, že veterán nizozemské politické scény a nejvytrvalejší nizozemský premiér všech dob Ruud Lubbers (v čele vlády rekordních dvanáct let) se o další setrvání v premiérském křesle nebude ucházet.
Postion	Tokenization
1	Za
2	třetí
3	,
4	že
5	veterán
6	nizozemské
7	politické
8	scény
9	a
10	nejvytrvalejší
11	nizozemský
12	premiér
13	všech
14	dob
15	Ruud
16	Lubbers
17	(
18	v
19	čele
20	vlády
21	rekordních
22	dvanáct
23	let
24	)
25	se
26	o
27	další
28	setrvání
29	v
30	premiérském
31	křesle
32	nebude
33	ucházet
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	2	case
2	třetí	ADJ	0	root
3	,	PUNCT	33	punct
4	že	SCONJ	33	mark
5	veterán	NOUN	15	nmod
6	nizozemské	ADJ	8	amod
7	politické	ADJ	8	amod
8	scény	NOUN	5	nmod
9	a	CCONJ	12	cc
10	nejvytrvalejší	ADJ	12	amod
11	nizozemský	ADJ	12	amod
12	premiér	NOUN	5	conj
13	všech	DET	14	det
14	dob	NOUN	12	nmod
15	Ruud	PROPN	33	nsubj
16	Lubbers	PROPN	15	flat
17	(	PUNCT	15	punct
18	v	ADP	19	case
19	čele	NOUN	15	dep
20	vlády	NOUN	19	nmod
21	rekordních	ADJ	23	amod
22	dvanáct	NUM	23	nummod:gov
23	let	NOUN	15	dep
24	)	PUNCT	15	punct
25	se	PRON	33	expl:pv
26	o	ADP	28	case
27	další	ADJ	28	amod
28	setrvání	NOUN	33	obl:arg
29	v	ADP	31	case
30	premiérském	ADJ	31	amod
31	křesle	NOUN	28	nmod
32	nebude	AUX	33	aux
33	ucházet	VERB	2	dep
34	.	PUNCT	2	punct