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:
Prezident republiky to učinil ve vztahu k Německu, v té relaci, v níž se český stát a český národ ve svých moderních dějinách tradičně vymezovaly.
Postion	Tokenization
1	Prezident
2	republiky
3	to
4	učinil
5	ve
6	vztahu
7	k
8	Německu
9	,
10	v
11	té
12	relaci
13	,
14	v
15	níž
16	se
17	český
18	stát
19	a
20	český
21	národ
22	ve
23	svých
24	moderních
25	dějinách
26	tradičně
27	vymezovaly
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Prezident	NOUN	4	nsubj
2	republiky	NOUN	1	nmod
3	to	DET	4	obj
4	učinil	VERB	0	root
5	ve	ADP	8	case
6	vztahu	NOUN	5	fixed
7	k	ADP	5	fixed
8	Německu	PROPN	4	obl
9	,	PUNCT	12	punct
10	v	ADP	12	case
11	té	DET	12	det
12	relaci	NOUN	4	obl
13	,	PUNCT	27	punct
14	v	ADP	15	case
15	níž	PRON	27	obl
16	se	PRON	27	expl:pass
17	český	ADJ	18	amod
18	stát	NOUN	27	nsubj:pass
19	a	CCONJ	21	cc
20	český	ADJ	21	amod
21	národ	NOUN	18	conj
22	ve	ADP	25	case
23	svých	DET	25	det
24	moderních	ADJ	25	amod
25	dějinách	NOUN	27	obl
26	tradičně	ADV	27	advmod
27	vymezovaly	VERB	12	acl:relcl
28	.	PUNCT	4	punct