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:
Vlček by byl po volbách v roce 1996 údajně spokojen se ziskem potřebných pěti procent hlasů, aby jeho strana získala alespoň 14 poslanců.
Postion	Tokenization
1	Vlček
2	by
3	byl
4	po
5	volbách
6	v
7	roce
8	1996
9	údajně
10	spokojen
11	se
12	ziskem
13	potřebných
14	pěti
15	procent
16	hlasů
17	,
18	aby
19	aby
20	by
21	jeho
22	strana
23	získala
24	alespoň
25	14
26	poslanců
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Vlček	NOUN	10	nsubj
2	by	AUX	10	aux
3	byl	AUX	10	cop
4	po	ADP	5	case
5	volbách	NOUN	10	obl
6	v	ADP	7	case
7	roce	NOUN	5	nmod
8	1996	NUM	7	nummod
9	údajně	ADV	10	advmod
10	spokojen	ADJ	0	root
11	se	ADP	12	case
12	ziskem	NOUN	10	obl:arg
13	potřebných	ADJ	15	amod
14	pěti	NUM	15	nummod
15	procent	NOUN	12	nmod
16	hlasů	NOUN	15	nmod
17	,	PUNCT	22	punct
18	aby	_	None	_
19	aby	SCONJ	22	mark
20	by	AUX	22	aux
21	jeho	DET	21	det
22	strana	NOUN	22	nsubj
23	získala	VERB	10	advcl
24	alespoň	ADV	24	advmod:emph
25	14	NUM	25	nummod:gov
26	poslanců	NOUN	22	obj
27	.	PUNCT	10	punct