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:
MUDr. Vladimír Pidrman před soudem dále dodal, že obviněný je anomální osobností s přílišnou vztahovačností na svou osobu a za určitých okolností má i rysy fanatismu.
Postion	Tokenization
1	MUDr
2	.
3	Vladimír
4	Pidrman
5	před
6	soudem
7	dále
8	dodal
9	,
10	že
11	obviněný
12	je
13	anomální
14	osobností
15	s
16	přílišnou
17	vztahovačností
18	na
19	svou
20	osobu
21	a
22	za
23	určitých
24	okolností
25	má
26	i
27	rysy
28	fanatismu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	MUDr	NOUN	3	nmod
2	.	PUNCT	1	punct
3	Vladimír	PROPN	8	nsubj
4	Pidrman	PROPN	3	flat
5	před	ADP	6	case
6	soudem	NOUN	8	obl
7	dále	ADV	8	advmod
8	dodal	VERB	0	root
9	,	PUNCT	14	punct
10	že	SCONJ	14	mark
11	obviněný	ADJ	14	nsubj
12	je	AUX	14	cop
13	anomální	ADJ	14	amod
14	osobností	NOUN	8	ccomp
15	s	ADP	17	case
16	přílišnou	ADJ	17	amod
17	vztahovačností	NOUN	14	nmod
18	na	ADP	20	case
19	svou	DET	20	det
20	osobu	NOUN	17	nmod
21	a	CCONJ	25	cc
22	za	ADP	24	case
23	určitých	ADJ	24	amod
24	okolností	NOUN	25	obl
25	má	VERB	14	conj
26	i	CCONJ	27	advmod:emph
27	rysy	NOUN	25	obj
28	fanatismu	NOUN	27	nmod
29	.	PUNCT	8	punct