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: Ve snaze upozornit Jana Pavla II. na nebezpečí spojené s chystanou návštěvou ostřelovali pravoslavní bosenští Srbové mj. sarajevský stadion, kde chce papež během své 12hodinové návštěvy města uspořádat mši pro 25000 lidí.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	2	case
2	snaze	NOUN	14	obl
3	upozornit	VERB	2	acl
4	Jana	PROPN	3	obj
5	Pavla	PROPN	4	flat
6	II	NUM	4	nummod
7	.	PUNCT	6	punct
8	na	ADP	9	case
9	nebezpečí	NOUN	3	obl:arg
10	spojené	ADJ	9	amod
11	s	ADP	13	case
12	chystanou	ADJ	13	amod
13	návštěvou	NOUN	10	obl:arg
14	ostřelovali	VERB	0	root
15	pravoslavní	ADJ	17	amod
16	bosenští	ADJ	17	amod
17	Srbové	PROPN	14	nsubj
18	mj	ADV	14	advmod
19	.	PUNCT	18	punct
20	sarajevský	ADJ	21	amod
21	stadion	NOUN	14	obj
22	,	PUNCT	24	punct
23	kde	ADV	24	advmod
24	chce	VERB	21	acl:relcl
25	papež	NOUN	24	nsubj
26	během	ADP	30	case
27	své	DET	30	det
28	12	NUM	29	nummod
29	hodinové	ADJ	30	amod
30	návštěvy	NOUN	24	obl
31	města	NOUN	30	nmod
32	uspořádat	VERB	24	xcomp
33	mši	NOUN	32	obj
34	pro	ADP	36	case
35	25000	NUM	36	nummod:gov
36	lidí	NOUN	33	nmod
37	.	PUNCT	14	punct