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:
Ministr zahraničí ČR Josef Zieleniec k projevu V. Havla poznamenal, že otázky spojené s minulostí jsou neoddělitelně spjaty s česko-německými vztahy.
Postion	Tokenization
1	Ministr
2	zahraničí
3	ČR
4	Josef
5	Zieleniec
6	k
7	projevu
8	V
9	.
10	Havla
11	poznamenal
12	,
13	že
14	otázky
15	spojené
16	s
17	minulostí
18	jsou
19	neoddělitelně
20	spjaty
21	s
22	česko
23	-
24	německými
25	vztahy
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	11	nsubj
2	zahraničí	NOUN	1	nmod
3	ČR	PROPN	2	nmod
4	Josef	PROPN	1	flat
5	Zieleniec	PROPN	1	flat
6	k	ADP	7	case
7	projevu	NOUN	11	obl
8	V	PROPN	7	nmod
9	.	PUNCT	8	punct
10	Havla	PROPN	8	flat
11	poznamenal	VERB	0	root
12	,	PUNCT	20	punct
13	že	SCONJ	20	mark
14	otázky	NOUN	20	nsubj
15	spojené	ADJ	14	amod
16	s	ADP	17	case
17	minulostí	NOUN	15	obl:arg
18	jsou	AUX	20	cop
19	neoddělitelně	ADV	20	advmod
20	spjaty	ADJ	11	ccomp
21	s	ADP	25	case
22	česko	ADJ	25	amod
23	-	PUNCT	24	punct
24	německými	ADJ	22	conj
25	vztahy	NOUN	20	obl:arg
26	.	PUNCT	11	punct