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:
Tisková mluvčí této strany Helena Bastlová uvedla, že KSU se bude důsledně profilovat jako strana politického středu, neboť se nechce vyhýbat dialogu s žádnou ze stran politického spektra.
Postion	Tokenization
1	Tisková
2	mluvčí
3	této
4	strany
5	Helena
6	Bastlová
7	uvedla
8	,
9	že
10	KSU
11	se
12	bude
13	důsledně
14	profilovat
15	jako
16	strana
17	politického
18	středu
19	,
20	neboť
21	se
22	nechce
23	vyhýbat
24	dialogu
25	s
26	žádnou
27	ze
28	stran
29	politického
30	spektra
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Tisková	ADJ	2	amod
2	mluvčí	NOUN	7	nsubj
3	této	DET	4	det
4	strany	NOUN	2	nmod
5	Helena	PROPN	2	flat
6	Bastlová	PROPN	2	flat
7	uvedla	VERB	0	root
8	,	PUNCT	14	punct
9	že	SCONJ	14	mark
10	KSU	PROPN	14	nsubj
11	se	PRON	14	obj
12	bude	AUX	14	aux
13	důsledně	ADV	14	advmod
14	profilovat	VERB	7	ccomp
15	jako	SCONJ	16	mark
16	strana	NOUN	10	xcomp
17	politického	ADJ	18	amod
18	středu	NOUN	16	nmod
19	,	PUNCT	22	punct
20	neboť	CCONJ	22	cc
21	se	PRON	23	expl:pv
22	nechce	VERB	14	conj
23	vyhýbat	VERB	22	xcomp
24	dialogu	NOUN	23	obl:arg
25	s	ADP	26	case
26	žádnou	DET	24	det
27	ze	ADP	28	case
28	stran	NOUN	26	nmod
29	politického	ADJ	30	amod
30	spektra	NOUN	28	nmod
31	.	PUNCT	7	punct