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:
Psychologové a sociologové tu diskutovali mimo jiné o tom, zda hospodářský tlak na rodinu bude znamenat její větší stabilitu a promítne se i do snížení počtu rozvodů.
Postion	Tokenization
1	Psychologové
2	a
3	sociologové
4	tu
5	diskutovali
6	mimo
7	jiné
8	o
9	tom
10	,
11	zda
12	hospodářský
13	tlak
14	na
15	rodinu
16	bude
17	znamenat
18	její
19	větší
20	stabilitu
21	a
22	promítne
23	se
24	i
25	do
26	snížení
27	počtu
28	rozvodů
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Psychologové	NOUN	5	nsubj
2	a	CCONJ	3	cc
3	sociologové	NOUN	1	conj
4	tu	ADV	5	advmod
5	diskutovali	VERB	0	root
6	mimo	ADP	7	case
7	jiné	ADJ	5	obl
8	o	ADP	9	case
9	tom	DET	5	obl:arg
10	,	PUNCT	17	punct
11	zda	SCONJ	17	mark
12	hospodářský	ADJ	13	amod
13	tlak	NOUN	17	nsubj
14	na	ADP	15	case
15	rodinu	NOUN	13	nmod
16	bude	AUX	17	aux
17	znamenat	VERB	9	acl
18	její	DET	20	det
19	větší	ADJ	20	amod
20	stabilitu	NOUN	17	obj
21	a	CCONJ	22	cc
22	promítne	VERB	17	conj
23	se	PRON	22	expl:pv
24	i	CCONJ	26	advmod:emph
25	do	ADP	26	case
26	snížení	NOUN	22	obl
27	počtu	NOUN	26	nmod
28	rozvodů	NOUN	27	obl
29	.	PUNCT	5	punct