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:
Městský soud v Praze včera zamítl žalobu na ochranu osobnosti bývalého náměstka Federální informační služby Jaroslava Bašty proti Bezpečnostní informační službě (BIS) a proti bývalému redaktoru Lidových novin Janu Šubertovi.
Postion	Tokenization
1	Městský
2	soud
3	v
4	Praze
5	včera
6	zamítl
7	žalobu
8	na
9	ochranu
10	osobnosti
11	bývalého
12	náměstka
13	Federální
14	informační
15	služby
16	Jaroslava
17	Bašty
18	proti
19	Bezpečnostní
20	informační
21	službě
22	(
23	BIS
24	)
25	a
26	proti
27	bývalému
28	redaktoru
29	Lidových
30	novin
31	Janu
32	Šubertovi
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Městský	ADJ	2	amod
2	soud	NOUN	6	nsubj
3	v	ADP	4	case
4	Praze	PROPN	2	nmod
5	včera	ADV	6	advmod
6	zamítl	VERB	0	root
7	žalobu	NOUN	6	obj
8	na	ADP	9	case
9	ochranu	NOUN	7	nmod
10	osobnosti	NOUN	9	nmod
11	bývalého	ADJ	12	amod
12	náměstka	NOUN	10	nmod
13	Federální	ADJ	15	amod
14	informační	ADJ	15	amod
15	služby	NOUN	12	nmod
16	Jaroslava	PROPN	12	flat
17	Bašty	PROPN	12	flat
18	proti	ADP	21	case
19	Bezpečnostní	ADJ	21	amod
20	informační	ADJ	21	amod
21	službě	NOUN	7	nmod
22	(	PUNCT	23	punct
23	BIS	NOUN	21	appos
24	)	PUNCT	23	punct
25	a	CCONJ	28	cc
26	proti	ADP	28	case
27	bývalému	ADJ	28	amod
28	redaktoru	NOUN	21	conj
29	Lidových	ADJ	30	amod
30	novin	NOUN	28	nmod
31	Janu	PROPN	28	flat
32	Šubertovi	PROPN	28	flat
33	.	PUNCT	6	punct