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:
Dohoda s maršálkem Sejmu a koaličním kandidátem na funkci polského premiéra Józefem Oleksym ohledně obsazení tzv. prezidentských resortů je možná, prohlásil včera polský prezident Lech Walesa.
Postion	Tokenization
1	Dohoda
2	s
3	maršálkem
4	Sejmu
5	a
6	koaličním
7	kandidátem
8	na
9	funkci
10	polského
11	premiéra
12	Józefem
13	Oleksym
14	ohledně
15	obsazení
16	tzv
17	.
18	prezidentských
19	resortů
20	je
21	možná
22	,
23	prohlásil
24	včera
25	polský
26	prezident
27	Lech
28	Walesa
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Dohoda	NOUN	21	nsubj
2	s	ADP	3	case
3	maršálkem	NOUN	1	nmod
4	Sejmu	PROPN	3	nmod
5	a	CCONJ	7	cc
6	koaličním	ADJ	7	amod
7	kandidátem	NOUN	3	conj
8	na	ADP	9	case
9	funkci	NOUN	7	nmod
10	polského	ADJ	11	amod
11	premiéra	NOUN	9	nmod
12	Józefem	PROPN	7	flat
13	Oleksym	PROPN	7	flat
14	ohledně	ADP	15	case
15	obsazení	NOUN	1	nmod
16	tzv	ADJ	19	amod
17	.	PUNCT	16	punct
18	prezidentských	ADJ	19	amod
19	resortů	NOUN	15	nmod
20	je	AUX	21	cop
21	možná	ADJ	23	ccomp
22	,	PUNCT	21	punct
23	prohlásil	VERB	0	root
24	včera	ADV	23	advmod
25	polský	ADJ	26	amod
26	prezident	NOUN	23	nsubj
27	Lech	PROPN	26	flat
28	Walesa	PROPN	26	flat
29	.	PUNCT	23	punct