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: Němci se musejí připravit na pravdy, jaké napsal český básník-prezident Václav Havel do knihy dějin ve své řeči na pražské Karlově univerzitě, uvedl komentář prvního německého televizního programu ARD.
Position	Tokenization	UPOS	Head	Deprel
1	Němci	PROPN	3	nsubj
2	se	PRON	4	expl:pv
3	musejí	VERB	27	ccomp
4	připravit	VERB	3	xcomp
5	na	ADP	6	case
6	pravdy	NOUN	4	obl:arg
7	,	PUNCT	9	punct
8	jaké	DET	9	obj
9	napsal	VERB	6	acl:relcl
10	český	ADJ	11	amod
11	básník	NOUN	9	nsubj
12	-	PUNCT	13	punct
13	prezident	NOUN	11	appos
14	Václav	PROPN	13	flat
15	Havel	PROPN	13	flat
16	do	ADP	17	case
17	knihy	NOUN	9	obl
18	dějin	NOUN	17	nmod
19	ve	ADP	21	case
20	své	DET	21	det
21	řeči	NOUN	9	obl
22	na	ADP	25	case
23	pražské	ADJ	25	amod
24	Karlově	ADJ	25	amod
25	univerzitě	NOUN	21	nmod
26	,	PUNCT	3	punct
27	uvedl	VERB	0	root
28	komentář	NOUN	27	nsubj
29	prvního	ADJ	32	amod
30	německého	ADJ	32	amod
31	televizního	ADJ	32	amod
32	programu	NOUN	28	nmod
33	ARD	PROPN	32	nmod
34	.	PUNCT	27	punct