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:
Změny věkové struktury a dlouhodobě očekávaný sestupný vývoj počtu obyvatelstva SRN mají za důsledek pokles pracovního potenciálu osob v aktivním věku.
Postion	Tokenization
1	Změny
2	věkové
3	struktury
4	a
5	dlouhodobě
6	očekávaný
7	sestupný
8	vývoj
9	počtu
10	obyvatelstva
11	SRN
12	mají
13	za
14	důsledek
15	pokles
16	pracovního
17	potenciálu
18	osob
19	v
20	aktivním
21	věku
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Změny	NOUN	12	nsubj
2	věkové	ADJ	3	amod
3	struktury	NOUN	1	nmod
4	a	CCONJ	8	cc
5	dlouhodobě	ADV	6	advmod
6	očekávaný	ADJ	8	amod
7	sestupný	ADJ	8	amod
8	vývoj	NOUN	1	conj
9	počtu	NOUN	8	nmod
10	obyvatelstva	NOUN	9	nmod
11	SRN	PROPN	10	nmod
12	mají	VERB	0	root
13	za	ADP	14	case
14	důsledek	NOUN	12	obl:arg
15	pokles	NOUN	12	obj
16	pracovního	ADJ	17	amod
17	potenciálu	NOUN	15	nmod
18	osob	NOUN	17	nmod
19	v	ADP	21	case
20	aktivním	ADJ	21	amod
21	věku	NOUN	18	nmod
22	.	PUNCT	12	punct