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:
Přestože byl Telegraf z českých novin duchovně snad nejvíce spjat s vládní politikou (především s ODS), nerozpakoval se ostře kritizovat některé její kroky z poslední doby.
Postion	Tokenization
1	Přestože
2	byl
3	Telegraf
4	z
5	českých
6	novin
7	duchovně
8	snad
9	nejvíce
10	spjat
11	s
12	vládní
13	politikou
14	(
15	především
16	s
17	ODS
18	)
19	,
20	nerozpakoval
21	se
22	ostře
23	kritizovat
24	některé
25	její
26	kroky
27	z
28	poslední
29	doby
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Přestože	SCONJ	10	mark
2	byl	AUX	10	cop
3	Telegraf	NOUN	10	nsubj
4	z	ADP	6	case
5	českých	ADJ	6	amod
6	novin	NOUN	9	obl
7	duchovně	ADV	10	advmod
8	snad	ADV	9	advmod
9	nejvíce	ADV	10	advmod
10	spjat	ADJ	20	advcl
11	s	ADP	13	case
12	vládní	ADJ	13	amod
13	politikou	NOUN	10	obl:arg
14	(	PUNCT	17	punct
15	především	ADV	17	advmod:emph
16	s	ADP	17	case
17	ODS	PROPN	10	obl:arg
18	)	PUNCT	17	punct
19	,	PUNCT	10	punct
20	nerozpakoval	VERB	0	root
21	se	PRON	20	expl:pv
22	ostře	ADV	23	advmod
23	kritizovat	VERB	20	xcomp
24	některé	DET	26	det
25	její	DET	26	det
26	kroky	NOUN	23	obj
27	z	ADP	29	case
28	poslední	ADJ	29	amod
29	doby	NOUN	26	nmod
30	.	PUNCT	20	punct