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 nedělním pořadu TV Nova 7 čili Sedm dní doslova prohlásil, že s navrženým řešením se nemůže ztotožnit ani jako ekonom, ani jako politik.
Postion	Tokenization
1	V
2	nedělním
3	pořadu
4	TV
5	Nova
6	7
7	čili
8	Sedm
9	dní
10	doslova
11	prohlásil
12	,
13	že
14	s
15	navrženým
16	řešením
17	se
18	nemůže
19	ztotožnit
20	ani
21	jako
22	ekonom
23	,
24	ani
25	jako
26	politik
27	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	nedělním	ADJ	3	amod
3	pořadu	NOUN	11	obl
4	TV	NOUN	3	nmod
5	Nova	PROPN	4	nmod
6	7	NUM	3	nummod
7	čili	CCONJ	8	cc
8	Sedm	NUM	9	nummod:gov
9	dní	NOUN	6	appos
10	doslova	ADV	11	advmod
11	prohlásil	VERB	0	root
12	,	PUNCT	18	punct
13	že	SCONJ	18	mark
14	s	ADP	16	case
15	navrženým	ADJ	16	amod
16	řešením	NOUN	19	obl:arg
17	se	PRON	19	expl:pv
18	nemůže	VERB	11	ccomp
19	ztotožnit	VERB	18	xcomp
20	ani	CCONJ	22	cc
21	jako	SCONJ	22	mark
22	ekonom	NOUN	19	xcomp
23	,	PUNCT	26	punct
24	ani	CCONJ	26	cc
25	jako	SCONJ	26	mark
26	politik	NOUN	22	conj
27	.	PUNCT	11	punct