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 Dlouhý při rozbití lahve šampaňského na počest zahájení výstavby ropovodu z Ingolstadtu nešťastně postříkal vínem Perla Moravy poblíž stojícího zástupce bavorské strany Helmuta Sauera od hlavy až k patě.
Postion	Tokenization
1	Ministr
2	Dlouhý
3	při
4	rozbití
5	lahve
6	šampaňského
7	na
8	počest
9	zahájení
10	výstavby
11	ropovodu
12	z
13	Ingolstadtu
14	nešťastně
15	postříkal
16	vínem
17	Perla
18	Moravy
19	poblíž
20	stojícího
21	zástupce
22	bavorské
23	strany
24	Helmuta
25	Sauera
26	od
27	hlavy
28	až
29	k
30	patě
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	15	nsubj
2	Dlouhý	PROPN	1	flat
3	při	ADP	4	case
4	rozbití	NOUN	15	obl
5	lahve	NOUN	4	nmod
6	šampaňského	NOUN	5	nmod
7	na	ADP	8	case
8	počest	NOUN	4	nmod
9	zahájení	NOUN	8	nmod
10	výstavby	NOUN	9	nmod
11	ropovodu	NOUN	10	nmod
12	z	ADP	13	case
13	Ingolstadtu	PROPN	11	nmod
14	nešťastně	ADV	15	advmod
15	postříkal	VERB	0	root
16	vínem	NOUN	15	obl
17	Perla	PROPN	16	nmod
18	Moravy	PROPN	17	nmod
19	poblíž	ADV	20	advmod
20	stojícího	ADJ	21	amod
21	zástupce	NOUN	15	obj
22	bavorské	ADJ	23	amod
23	strany	NOUN	21	nmod
24	Helmuta	PROPN	21	flat
25	Sauera	PROPN	21	flat
26	od	ADP	27	case
27	hlavy	NOUN	15	obl
28	až	PART	30	advmod:emph
29	k	ADP	30	case
30	patě	NOUN	15	obl
31	.	PUNCT	15	punct