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:
V rozporu s usnesením vlády bylo totiž 3.5 procenta akcií Čokoládoven prodáno akciové společnosti První Investiční, která byla jako jeden z kupců uvedena v privatizačním projektu.
Postion	Tokenization
1	V
2	rozporu
3	s
4	usnesením
5	vlády
6	bylo
7	totiž
8	3.5
9	procenta
10	akcií
11	Čokoládoven
12	prodáno
13	akciové
14	společnosti
15	První
16	Investiční
17	,
18	která
19	byla
20	jako
21	jeden
22	z
23	kupců
24	uvedena
25	v
26	privatizačním
27	projektu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	4	case
2	rozporu	NOUN	1	fixed
3	s	ADP	1	fixed
4	usnesením	NOUN	12	obl
5	vlády	NOUN	4	nmod
6	bylo	AUX	12	aux:pass
7	totiž	ADV	12	advmod
8	3.5	NUM	9	nummod:gov
9	procenta	NOUN	12	nsubj:pass
10	akcií	NOUN	9	nmod
11	Čokoládoven	NOUN	10	nmod
12	prodáno	ADJ	0	root
13	akciové	ADJ	14	amod
14	společnosti	NOUN	12	obl:arg
15	První	ADJ	16	amod
16	Investiční	ADJ	14	amod
17	,	PUNCT	24	punct
18	která	DET	24	nsubj:pass
19	byla	AUX	24	aux:pass
20	jako	SCONJ	21	mark
21	jeden	NUM	18	xcomp
22	z	ADP	23	case
23	kupců	NOUN	21	nmod
24	uvedena	ADJ	14	amod
25	v	ADP	27	case
26	privatizačním	ADJ	27	amod
27	projektu	NOUN	24	obl
28	.	PUNCT	12	punct