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:
Stále přibývající počet obyvatel v důchodovém věku představuje pro státní pokladnu zátěž, se kterou se nemůže sama vyrovnat.
Postion	Tokenization
1	Stále
2	přibývající
3	počet
4	obyvatel
5	v
6	důchodovém
7	věku
8	představuje
9	pro
10	státní
11	pokladnu
12	zátěž
13	,
14	se
15	kterou
16	se
17	nemůže
18	sama
19	vyrovnat
20	.
Position	Tokenization	UPOS	Head	Deprel
1	Stále	ADV	2	advmod
2	přibývající	ADJ	3	amod
3	počet	NOUN	8	nsubj
4	obyvatel	NOUN	3	nmod
5	v	ADP	7	case
6	důchodovém	ADJ	7	amod
7	věku	NOUN	4	nmod
8	představuje	VERB	0	root
9	pro	ADP	11	case
10	státní	ADJ	11	amod
11	pokladnu	NOUN	12	nmod
12	zátěž	NOUN	8	obj
13	,	PUNCT	17	punct
14	se	ADP	15	case
15	kterou	DET	19	obl:arg
16	se	PRON	19	expl:pv
17	nemůže	VERB	12	acl:relcl
18	sama	DET	19	xcomp
19	vyrovnat	VERB	17	xcomp
20	.	PUNCT	8	punct