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:
Zdeněk Matějček: Studovali jsme děti, které vyrůstaly v situacích za méně příznivých společenských a citových podmínek, které mohou být nejrůznějšího druhu.
Postion	Tokenization
1	Zdeněk
2	Matějček
3	:
4	Studovali
5	jsme
6	děti
7	,
8	které
9	vyrůstaly
10	v
11	situacích
12	za
13	méně
14	příznivých
15	společenských
16	a
17	citových
18	podmínek
19	,
20	které
21	mohou
22	být
23	nejrůznějšího
24	druhu
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Zdeněk	PROPN	0	root
2	Matějček	PROPN	1	flat
3	:	PUNCT	4	punct
4	Studovali	VERB	1	dep
5	jsme	AUX	4	aux
6	děti	NOUN	4	obj
7	,	PUNCT	9	punct
8	které	DET	9	nsubj
9	vyrůstaly	VERB	6	acl:relcl
10	v	ADP	11	case
11	situacích	NOUN	9	obl
12	za	ADP	18	case
13	méně	ADV	14	advmod
14	příznivých	ADJ	18	amod
15	společenských	ADJ	18	amod
16	a	CCONJ	17	cc
17	citových	ADJ	15	conj
18	podmínek	NOUN	11	nmod
19	,	PUNCT	21	punct
20	které	DET	21	nsubj
21	mohou	VERB	18	acl:relcl
22	být	AUX	24	cop
23	nejrůznějšího	ADJ	24	amod
24	druhu	NOUN	21	xcomp
25	.	PUNCT	1	punct