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:
Jelikož se u nás zatím kladou teprve základy účinného systému připojištění, které by mohlo občanům ztrátu kompenzovat, bude tato alternativa účinná teprve pro nyní mladší generaci.
Postion	Tokenization
1	Jelikož
2	se
3	u
4	nás
5	zatím
6	kladou
7	teprve
8	základy
9	účinného
10	systému
11	připojištění
12	,
13	které
14	by
15	mohlo
16	občanům
17	ztrátu
18	kompenzovat
19	,
20	bude
21	tato
22	alternativa
23	účinná
24	teprve
25	pro
26	nyní
27	mladší
28	generaci
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Jelikož	SCONJ	6	mark
2	se	PRON	6	expl:pass
3	u	ADP	4	case
4	nás	PRON	6	obl
5	zatím	ADV	6	advmod
6	kladou	VERB	23	advcl
7	teprve	ADV	6	advmod
8	základy	NOUN	6	nsubj:pass
9	účinného	ADJ	10	amod
10	systému	NOUN	8	nmod
11	připojištění	NOUN	10	nmod
12	,	PUNCT	15	punct
13	které	DET	15	nsubj
14	by	AUX	15	aux
15	mohlo	VERB	11	acl:relcl
16	občanům	NOUN	18	obl
17	ztrátu	NOUN	18	obj
18	kompenzovat	VERB	15	xcomp
19	,	PUNCT	6	punct
20	bude	AUX	23	cop
21	tato	DET	22	det
22	alternativa	NOUN	23	nsubj
23	účinná	ADJ	0	root
24	teprve	ADV	28	advmod:emph
25	pro	ADP	28	case
26	nyní	ADV	27	advmod
27	mladší	ADJ	28	amod
28	generaci	NOUN	23	obl
29	.	PUNCT	23	punct