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: Frankfurter Allgemeine Zeitung si všímá, že Havel tentokrát odmítl rozhodněji a zřetelněji než dříve všechny pokusy vyčlenit z minulosti požadavky a nároky, které podle prezidenta zpochybňují základy poválečného řádu v Evropě.
Position	Tokenization	UPOS	Head	Deprel
1	Frankfurter	ADJ	5	nsubj
2	Allgemeine	ADJ	1	flat:foreign
3	Zeitung	PROPN	1	flat:foreign
4	si	PRON	5	expl:pv
5	všímá	VERB	0	root
6	,	PUNCT	10	punct
7	že	SCONJ	10	mark
8	Havel	PROPN	10	nsubj
9	tentokrát	ADV	10	advmod
10	odmítl	VERB	5	ccomp
11	rozhodněji	ADV	10	advmod
12	a	CCONJ	13	cc
13	zřetelněji	ADV	11	conj
14	než	SCONJ	15	mark
15	dříve	ADV	11	advcl
16	všechny	DET	17	det
17	pokusy	NOUN	10	obj
18	vyčlenit	VERB	17	acl
19	z	ADP	20	case
20	minulosti	NOUN	18	obl
21	požadavky	NOUN	18	obj
22	a	CCONJ	23	cc
23	nároky	NOUN	21	conj
24	,	PUNCT	28	punct
25	které	DET	28	nsubj
26	podle	ADP	27	case
27	prezidenta	NOUN	28	obl
28	zpochybňují	VERB	21	acl:relcl
29	základy	NOUN	28	obj
30	poválečného	ADJ	31	amod
31	řádu	NOUN	29	nmod
32	v	ADP	33	case
33	Evropě	PROPN	31	nmod
34	.	PUNCT	5	punct