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:
Část kapitálu firmy by měla být nabídnuta Francouzům a zaměstnancům společnosti Renault, přičemž francouzský stát si na Renaultu v každém případě ponechá většinový podíl.
Postion	Tokenization
1	Část
2	kapitálu
3	firmy
4	by
5	měla
6	být
7	nabídnuta
8	Francouzům
9	a
10	zaměstnancům
11	společnosti
12	Renault
13	,
14	přičemž
15	francouzský
16	stát
17	si
18	na
19	Renaultu
20	v
21	každém
22	případě
23	ponechá
24	většinový
25	podíl
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Část	NOUN	5	nsubj
2	kapitálu	NOUN	1	nmod
3	firmy	NOUN	2	nmod
4	by	AUX	5	aux
5	měla	VERB	0	root
6	být	AUX	7	aux:pass
7	nabídnuta	ADJ	5	obj
8	Francouzům	PROPN	7	obl:arg
9	a	CCONJ	10	cc
10	zaměstnancům	NOUN	8	conj
11	společnosti	NOUN	10	nmod
12	Renault	PROPN	11	nmod
13	,	PUNCT	23	punct
14	přičemž	ADV	23	advmod
15	francouzský	ADJ	16	amod
16	stát	NOUN	23	nsubj
17	si	PRON	23	obl:arg
18	na	ADP	19	case
19	Renaultu	NOUN	23	obl
20	v	ADP	22	case
21	každém	DET	22	det
22	případě	NOUN	23	obl
23	ponechá	VERB	5	conj
24	většinový	ADJ	25	amod
25	podíl	NOUN	23	obj
26	.	PUNCT	5	punct