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: Mluvčí ministerstva vnitra Jan Šubert včera LN řekl, že v této chvíli vše nasvědčuje tomu, že jde o součást kampaně proti řediteli BIS Stanislavu Devátému, ale tentokrát je cílem diskreditovat osobu ministra vnitra Rumla.
Position	Tokenization	UPOS	Head	Deprel
1	Mluvčí	NOUN	8	nsubj
2	ministerstva	NOUN	1	nmod
3	vnitra	NOUN	2	nmod
4	Jan	PROPN	1	flat
5	Šubert	PROPN	1	flat
6	včera	ADV	8	advmod
7	LN	PROPN	8	iobj
8	řekl	VERB	0	root
9	,	PUNCT	15	punct
10	že	SCONJ	15	mark
11	v	ADP	13	case
12	této	DET	13	det
13	chvíli	NOUN	15	obl
14	vše	DET	15	nsubj
15	nasvědčuje	VERB	8	ccomp
16	tomu	DET	15	obl:arg
17	,	PUNCT	19	punct
18	že	SCONJ	19	mark
19	jde	VERB	16	acl
20	o	ADP	21	case
21	součást	NOUN	19	obl:arg
22	kampaně	NOUN	21	nmod
23	proti	ADP	24	case
24	řediteli	NOUN	22	nmod
25	BIS	NOUN	24	nmod
26	Stanislavu	PROPN	24	flat
27	Devátému	PROPN	24	flat
28	,	PUNCT	32	punct
29	ale	CCONJ	32	cc
30	tentokrát	ADV	32	advmod
31	je	AUX	32	cop
32	cílem	NOUN	19	conj
33	diskreditovat	VERB	32	csubj
34	osobu	NOUN	33	obj
35	ministra	NOUN	34	nmod
36	vnitra	NOUN	35	nmod
37	Rumla	PROPN	35	flat
38	.	PUNCT	8	punct