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:
Zvýšený zájem o tuto problematickou stavbu je důsledkem rozsáhlé informační a reklamní kampaně, kterou ČEZ zaměřuje především do oblasti školství.
Postion	Tokenization
1	Zvýšený
2	zájem
3	o
4	tuto
5	problematickou
6	stavbu
7	je
8	důsledkem
9	rozsáhlé
10	informační
11	a
12	reklamní
13	kampaně
14	,
15	kterou
16	ČEZ
17	zaměřuje
18	především
19	do
20	oblasti
21	školství
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Zvýšený	ADJ	2	amod
2	zájem	NOUN	8	nsubj
3	o	ADP	6	case
4	tuto	DET	6	det
5	problematickou	ADJ	6	amod
6	stavbu	NOUN	2	nmod
7	je	AUX	8	cop
8	důsledkem	NOUN	0	root
9	rozsáhlé	ADJ	13	amod
10	informační	ADJ	13	amod
11	a	CCONJ	12	cc
12	reklamní	ADJ	10	conj
13	kampaně	NOUN	8	nmod
14	,	PUNCT	17	punct
15	kterou	DET	17	obj
16	ČEZ	PROPN	17	nsubj
17	zaměřuje	VERB	13	acl:relcl
18	především	ADV	20	advmod:emph
19	do	ADP	20	case
20	oblasti	NOUN	17	obl
21	školství	NOUN	20	nmod
22	.	PUNCT	8	punct