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:
Proti těmto našim argumentům se někdy namítá, že nový návrh zákona o důchodovém pojištění umožňuje odchod do důchodu 2 - 3 roky před dosažením důchodového věku.
Postion	Tokenization
1	Proti
2	těmto
3	našim
4	argumentům
5	se
6	někdy
7	namítá
8	,
9	že
10	nový
11	návrh
12	zákona
13	o
14	důchodovém
15	pojištění
16	umožňuje
17	odchod
18	do
19	důchodu
20	2
21	-
22	3
23	roky
24	před
25	dosažením
26	důchodového
27	věku
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Proti	ADP	4	case
2	těmto	DET	4	det
3	našim	DET	4	det
4	argumentům	NOUN	7	obl
5	se	PRON	7	expl:pass
6	někdy	ADV	7	advmod
7	namítá	VERB	0	root
8	,	PUNCT	16	punct
9	že	SCONJ	16	mark
10	nový	ADJ	11	amod
11	návrh	NOUN	16	nsubj
12	zákona	NOUN	11	nmod
13	o	ADP	15	case
14	důchodovém	ADJ	15	amod
15	pojištění	NOUN	12	nmod
16	umožňuje	VERB	7	csubj:pass
17	odchod	NOUN	16	obj
18	do	ADP	19	case
19	důchodu	NOUN	17	nmod
20	2	NUM	23	nummod
21	-	PUNCT	22	punct
22	3	NUM	20	conj
23	roky	NOUN	16	obl
24	před	ADP	25	case
25	dosažením	NOUN	23	nmod
26	důchodového	ADJ	27	amod
27	věku	NOUN	25	nmod
28	.	PUNCT	7	punct