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: Vedoucí představitelé stran italské pravicové koalice ukončili v noci na včerejšek několikahodinové jednání o obsazení míst v příští vládě bez známek roztržky, která hrozila v důsledku naléhání Ligy severu na obsazení křesla ministra vnitra.
Position	Tokenization	UPOS	Head	Deprel
1	Vedoucí	ADJ	2	amod
2	představitelé	NOUN	7	nsubj
3	stran	NOUN	2	nmod
4	italské	ADJ	6	amod
5	pravicové	ADJ	6	amod
6	koalice	NOUN	3	nmod
7	ukončili	VERB	0	root
8	v	ADP	9	case
9	noci	NOUN	7	obl
10	na	ADP	11	case
11	včerejšek	NOUN	9	nmod
12	několikahodinové	ADJ	13	amod
13	jednání	NOUN	7	obj
14	o	ADP	15	case
15	obsazení	NOUN	13	nmod
16	míst	NOUN	15	nmod
17	v	ADP	19	case
18	příští	ADJ	19	amod
19	vládě	NOUN	16	nmod
20	bez	ADP	21	case
21	známek	NOUN	7	obl
22	roztržky	NOUN	21	nmod
23	,	PUNCT	25	punct
24	která	DET	25	nsubj
25	hrozila	VERB	22	acl:relcl
26	v	ADP	28	case
27	důsledku	NOUN	26	fixed
28	naléhání	NOUN	25	obl
29	Ligy	NOUN	28	nmod
30	severu	NOUN	29	nmod
31	na	ADP	32	case
32	obsazení	NOUN	28	nmod
33	křesla	NOUN	32	nmod
34	ministra	NOUN	33	nmod
35	vnitra	NOUN	34	nmod
36	.	PUNCT	7	punct