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:
Stejné téma mapoval také Stéfane Compoint, jenž získal první místo v kategorii Lidé, o nichž se mluví (série) z francouzské Sygmy: opět hasiči, opět vrt.
Postion	Tokenization
1	Stejné
2	téma
3	mapoval
4	také
5	Stéfane
6	Compoint
7	,
8	jenž
9	získal
10	první
11	místo
12	v
13	kategorii
14	Lidé
15	,
16	o
17	nichž
18	se
19	mluví
20	(
21	série
22	)
23	z
24	francouzské
25	Sygmy
26	:
27	opět
28	hasiči
29	,
30	opět
31	vrt
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Stejné	ADJ	2	amod
2	téma	NOUN	3	obj
3	mapoval	VERB	0	root
4	také	ADV	3	advmod
5	Stéfane	PROPN	3	nsubj
6	Compoint	PROPN	5	flat
7	,	PUNCT	9	punct
8	jenž	PRON	9	nsubj
9	získal	VERB	5	acl:relcl
10	první	ADJ	11	amod
11	místo	NOUN	9	obj
12	v	ADP	13	case
13	kategorii	NOUN	11	nmod
14	Lidé	NOUN	13	nmod
15	,	PUNCT	19	punct
16	o	ADP	17	case
17	nichž	PRON	19	obl:arg
18	se	PRON	19	expl:pass
19	mluví	VERB	14	acl:relcl
20	(	PUNCT	19	punct
21	série	NOUN	19	dep
22	)	PUNCT	19	punct
23	z	ADP	25	case
24	francouzské	ADJ	25	amod
25	Sygmy	PROPN	5	nmod
26	:	PUNCT	3	punct
27	opět	ADV	3	dep
28	hasiči	NOUN	27	conj
29	,	PUNCT	30	punct
30	opět	ADV	27	conj
31	vrt	NOUN	27	conj
32	.	PUNCT	3	punct