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: Předseda FDP a ministr zahraničí Klaus Kinkel včera dával najevo úlevu a uspokojení nad zprávami z Wiesbadenu a neváhal je označit za "pozitivní signál" před dalšími volbami (Severní Porýní-Vestfálsko, Brémy a Berlín).
Position	Tokenization	UPOS	Head	Deprel
1	Předseda	NOUN	6	nmod
2	FDP	PROPN	1	nmod
3	a	CCONJ	4	cc
4	ministr	NOUN	1	conj
5	zahraničí	NOUN	4	nmod
6	Klaus	PROPN	9	nsubj
7	Kinkel	PROPN	6	flat
8	včera	ADV	9	advmod
9	dával	VERB	0	root
10	najevo	ADV	9	advmod
11	úlevu	NOUN	9	obj
12	a	CCONJ	13	cc
13	uspokojení	NOUN	11	conj
14	nad	ADP	15	case
15	zprávami	NOUN	11	nmod
16	z	ADP	17	case
17	Wiesbadenu	PROPN	15	nmod
18	a	CCONJ	19	cc
19	neváhal	VERB	9	conj
20	je	PRON	21	obj
21	označit	VERB	19	xcomp
22	za	ADP	25	case
23	"	PUNCT	25	punct
24	pozitivní	ADJ	25	amod
25	signál	NOUN	21	obl:arg
26	"	PUNCT	25	punct
27	před	ADP	29	case
28	dalšími	ADJ	29	amod
29	volbami	NOUN	25	nmod
30	(	PUNCT	34	punct
31	Severní	ADJ	32	amod
32	Porýní	PROPN	34	nmod
33	-	PUNCT	32	punct
34	Vestfálsko	PROPN	29	dep
35	,	PUNCT	36	punct
36	Brémy	PROPN	34	conj
37	a	CCONJ	38	cc
38	Berlín	PROPN	36	conj
39	)	PUNCT	34	punct
40	.	PUNCT	9	punct