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:
Opata břevnovského kláštera Anastáze Opaska a pracovníka bývalého OPBH Praha 1 vyslechl včera mezi dalšími svědky senát Městského soudu v Praze, který projednává žalobu na Martu Chadimovou.
Postion	Tokenization
1	Opata
2	břevnovského
3	kláštera
4	Anastáze
5	Opaska
6	a
7	pracovníka
8	bývalého
9	OPBH
10	Praha
11	1
12	vyslechl
13	včera
14	mezi
15	dalšími
16	svědky
17	senát
18	Městského
19	soudu
20	v
21	Praze
22	,
23	který
24	projednává
25	žalobu
26	na
27	Martu
28	Chadimovou
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Opata	NOUN	12	obj
2	břevnovského	ADJ	3	amod
3	kláštera	NOUN	1	nmod
4	Anastáze	PROPN	1	flat
5	Opaska	PROPN	1	flat
6	a	CCONJ	7	cc
7	pracovníka	NOUN	1	conj
8	bývalého	ADJ	9	amod
9	OPBH	PROPN	7	nmod
10	Praha	PROPN	9	nmod
11	1	NUM	10	nummod
12	vyslechl	VERB	0	root
13	včera	ADV	12	advmod
14	mezi	ADP	16	case
15	dalšími	ADJ	16	amod
16	svědky	NOUN	12	obl
17	senát	NOUN	12	nsubj
18	Městského	ADJ	19	amod
19	soudu	NOUN	17	nmod
20	v	ADP	21	case
21	Praze	PROPN	19	nmod
22	,	PUNCT	24	punct
23	který	DET	24	nsubj
24	projednává	VERB	19	acl:relcl
25	žalobu	NOUN	24	obj
26	na	ADP	27	case
27	Martu	PROPN	25	nmod
28	Chadimovou	PROPN	27	flat
29	.	PUNCT	12	punct