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:
Senátor Arlen Specter, považovaný za představitele levého křídla Republikánské strany se na obrazovkách mihl jen proto, že jako jediný z republikánů podporuje právo na potraty.
Postion	Tokenization
1	Senátor
2	Arlen
3	Specter
4	,
5	považovaný
6	za
7	představitele
8	levého
9	křídla
10	Republikánské
11	strany
12	se
13	na
14	obrazovkách
15	mihl
16	jen
17	proto
18	,
19	že
20	jako
21	jediný
22	z
23	republikánů
24	podporuje
25	právo
26	na
27	potraty
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Senátor	NOUN	15	nsubj
2	Arlen	PROPN	1	flat
3	Specter	PROPN	1	flat
4	,	PUNCT	5	punct
5	považovaný	ADJ	1	amod
6	za	ADP	7	case
7	představitele	NOUN	5	obl:arg
8	levého	ADJ	9	amod
9	křídla	NOUN	7	nmod
10	Republikánské	ADJ	11	amod
11	strany	NOUN	9	nmod
12	se	PRON	15	expl:pv
13	na	ADP	14	case
14	obrazovkách	NOUN	15	obl
15	mihl	VERB	0	root
16	jen	PART	17	advmod:emph
17	proto	ADV	15	advmod
18	,	PUNCT	24	punct
19	že	SCONJ	24	mark
20	jako	SCONJ	21	mark
21	jediný	ADJ	24	xcomp
22	z	ADP	23	case
23	republikánů	NOUN	21	nmod
24	podporuje	VERB	15	advcl
25	právo	NOUN	24	iobj
26	na	ADP	27	case
27	potraty	NOUN	25	nmod
28	.	PUNCT	15	punct