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:
Církev si přeje mír, ale nemá strach z boje, prohlásil nedávno polský primas kardinál Józef Glemp, což mělo být memento politikům i voličům pro prezidentskou kampaň v příštím roce.
Postion	Tokenization
1	Církev
2	si
3	přeje
4	mír
5	,
6	ale
7	nemá
8	strach
9	z
10	boje
11	,
12	prohlásil
13	nedávno
14	polský
15	primas
16	kardinál
17	Józef
18	Glemp
19	,
20	což
21	mělo
22	být
23	memento
24	politikům
25	i
26	voličům
27	pro
28	prezidentskou
29	kampaň
30	v
31	příštím
32	roce
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Církev	NOUN	3	nsubj
2	si	PRON	3	expl:pv
3	přeje	VERB	12	ccomp
4	mír	NOUN	3	obj
5	,	PUNCT	7	punct
6	ale	CCONJ	7	cc
7	nemá	VERB	3	conj
8	strach	NOUN	7	obj
9	z	ADP	10	case
10	boje	NOUN	8	nmod
11	,	PUNCT	3	punct
12	prohlásil	VERB	0	root
13	nedávno	ADV	12	advmod
14	polský	ADJ	15	amod
15	primas	NOUN	12	nsubj
16	kardinál	NOUN	15	flat
17	Józef	PROPN	15	flat
18	Glemp	PROPN	15	flat
19	,	PUNCT	21	punct
20	což	PRON	21	nsubj
21	mělo	VERB	12	conj
22	být	AUX	23	cop
23	memento	NOUN	21	xcomp
24	politikům	NOUN	23	nmod
25	i	CCONJ	26	cc
26	voličům	NOUN	24	conj
27	pro	ADP	29	case
28	prezidentskou	ADJ	29	amod
29	kampaň	NOUN	23	nmod
30	v	ADP	32	case
31	příštím	ADJ	32	amod
32	roce	NOUN	29	nmod
33	.	PUNCT	12	punct