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:
Jak nám řekl starosta Štramberka Jiří Socha, autor projektu se zavázal, že pozemky, které získá, budou využity jen pro biosférický areál.
Postion	Tokenization
1	Jak
2	nám
3	řekl
4	starosta
5	Štramberka
6	Jiří
7	Socha
8	,
9	autor
10	projektu
11	se
12	zavázal
13	,
14	že
15	pozemky
16	,
17	které
18	získá
19	,
20	budou
21	využity
22	jen
23	pro
24	biosférický
25	areál
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	3	advmod
2	nám	PRON	3	obl:arg
3	řekl	VERB	12	parataxis
4	starosta	NOUN	3	nsubj
5	Štramberka	PROPN	4	nmod
6	Jiří	PROPN	4	flat
7	Socha	PROPN	4	flat
8	,	PUNCT	3	punct
9	autor	NOUN	12	nsubj
10	projektu	NOUN	9	nmod
11	se	PRON	12	expl:pv
12	zavázal	VERB	0	root
13	,	PUNCT	21	punct
14	že	SCONJ	21	mark
15	pozemky	NOUN	21	nsubj:pass
16	,	PUNCT	18	punct
17	které	DET	18	obj
18	získá	VERB	15	acl:relcl
19	,	PUNCT	18	punct
20	budou	AUX	21	aux:pass
21	využity	ADJ	12	obj
22	jen	PART	25	advmod:emph
23	pro	ADP	25	case
24	biosférický	ADJ	25	amod
25	areál	NOUN	21	obl
26	.	PUNCT	12	punct