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:
Třetí setkání je opět s určitým časovým odstupem, který umožňuje manželům znovu popřemýšlet o specifičnosti náhradního rodičovství a v rozhovoru s psychologem poradny probrat svou konkrétní individuální situaci.
Postion	Tokenization
1	Třetí
2	setkání
3	je
4	opět
5	s
6	určitým
7	časovým
8	odstupem
9	,
10	který
11	umožňuje
12	manželům
13	znovu
14	popřemýšlet
15	o
16	specifičnosti
17	náhradního
18	rodičovství
19	a
20	v
21	rozhovoru
22	s
23	psychologem
24	poradny
25	probrat
26	svou
27	konkrétní
28	individuální
29	situaci
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Třetí	ADJ	2	amod
2	setkání	NOUN	3	nsubj
3	je	VERB	0	root
4	opět	ADV	3	advmod
5	s	ADP	8	case
6	určitým	ADJ	8	amod
7	časovým	ADJ	8	amod
8	odstupem	NOUN	3	obl
9	,	PUNCT	11	punct
10	který	DET	11	nsubj
11	umožňuje	VERB	8	acl:relcl
12	manželům	NOUN	11	obl:arg
13	znovu	ADV	14	advmod
14	popřemýšlet	VERB	11	xcomp
15	o	ADP	16	case
16	specifičnosti	NOUN	14	obl:arg
17	náhradního	ADJ	18	amod
18	rodičovství	NOUN	16	nmod
19	a	CCONJ	25	cc
20	v	ADP	21	case
21	rozhovoru	NOUN	25	obl
22	s	ADP	23	case
23	psychologem	NOUN	21	nmod
24	poradny	NOUN	23	nmod
25	probrat	VERB	14	conj
26	svou	DET	29	det
27	konkrétní	ADJ	29	amod
28	individuální	ADJ	29	amod
29	situaci	NOUN	25	obj
30	.	PUNCT	3	punct