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:
Tato společnost bude zároveň investorem výstavby lázeňské čtvrti, která bude mít rozlohu 16 ha a předpokládané náklady na její vybudování jsou 750 mil. korun.
Postion	Tokenization
1	Tato
2	společnost
3	bude
4	zároveň
5	investorem
6	výstavby
7	lázeňské
8	čtvrti
9	,
10	která
11	bude
12	mít
13	rozlohu
14	16
15	ha
16	a
17	předpokládané
18	náklady
19	na
20	její
21	vybudování
22	jsou
23	750
24	mil
25	.
26	korun
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Tato	DET	2	det
2	společnost	NOUN	5	nsubj
3	bude	AUX	5	cop
4	zároveň	ADV	5	advmod
5	investorem	NOUN	0	root
6	výstavby	NOUN	5	nmod
7	lázeňské	ADJ	8	amod
8	čtvrti	NOUN	6	nmod
9	,	PUNCT	12	punct
10	která	DET	12	nsubj
11	bude	AUX	12	aux
12	mít	VERB	8	acl:relcl
13	rozlohu	NOUN	12	obj
14	16	NUM	13	nummod
15	ha	NOUN	14	nmod
16	a	CCONJ	23	cc
17	předpokládané	ADJ	18	amod
18	náklady	NOUN	23	nsubj
19	na	ADP	21	case
20	její	DET	21	det
21	vybudování	NOUN	18	nmod
22	jsou	AUX	23	cop
23	750	NUM	5	conj
24	mil	NOUN	23	nmod
25	.	PUNCT	24	punct
26	korun	NOUN	24	nmod
27	.	PUNCT	5	punct