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:
Nyní vlastní padesátiprocentní podíl na britské firmě TWR, která se mimo jiné zabývá vývojem závodních automobilů, včetně Formule 1.
Postion	Tokenization
1	Nyní
2	vlastní
3	padesátiprocentní
4	podíl
5	na
6	britské
7	firmě
8	TWR
9	,
10	která
11	se
12	mimo
13	jiné
14	zabývá
15	vývojem
16	závodních
17	automobilů
18	,
19	včetně
20	Formule
21	1
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Nyní	ADV	2	advmod
2	vlastní	VERB	0	root
3	padesátiprocentní	ADJ	4	amod
4	podíl	NOUN	2	obj
5	na	ADP	7	case
6	britské	ADJ	7	amod
7	firmě	NOUN	4	nmod
8	TWR	NOUN	7	nmod
9	,	PUNCT	14	punct
10	která	DET	14	nsubj
11	se	PRON	14	expl:pv
12	mimo	ADP	13	case
13	jiné	ADJ	14	obl
14	zabývá	VERB	7	acl:relcl
15	vývojem	NOUN	14	obl:arg
16	závodních	ADJ	17	amod
17	automobilů	NOUN	15	nmod
18	,	PUNCT	20	punct
19	včetně	ADP	20	case
20	Formule	NOUN	14	obl
21	1	NUM	20	nummod
22	.	PUNCT	2	punct