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:
Volby nového prezidenta jsou na programu pátečního zasedání nového parlamentu, v němž by podle dosavadních odhadů měl ANC získat 240 křesel z celkem 400.
Postion	Tokenization
1	Volby
2	nového
3	prezidenta
4	jsou
5	na
6	programu
7	pátečního
8	zasedání
9	nového
10	parlamentu
11	,
12	v
13	němž
14	by
15	podle
16	dosavadních
17	odhadů
18	měl
19	ANC
20	získat
21	240
22	křesel
23	z
24	celkem
25	400
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Volby	NOUN	4	nsubj
2	nového	ADJ	3	amod
3	prezidenta	NOUN	1	nmod
4	jsou	VERB	0	root
5	na	ADP	6	case
6	programu	NOUN	4	obl
7	pátečního	ADJ	8	amod
8	zasedání	NOUN	6	nmod
9	nového	ADJ	10	amod
10	parlamentu	NOUN	8	nmod
11	,	PUNCT	18	punct
12	v	ADP	13	case
13	němž	PRON	18	obl
14	by	AUX	18	aux
15	podle	ADP	17	case
16	dosavadních	ADJ	17	amod
17	odhadů	NOUN	18	obl
18	měl	VERB	10	acl:relcl
19	ANC	PROPN	18	nsubj
20	získat	VERB	18	xcomp
21	240	NUM	22	nummod:gov
22	křesel	NOUN	20	obj
23	z	ADP	25	case
24	celkem	ADV	25	advmod
25	400	NUM	22	nummod
26	.	PUNCT	4	punct