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:
Akademie Dobříš se chce opírat o některé pedagogy, kteří na Dobříši vedli kursy v minulosti, mezi nimi Alexandra Lonquiche, Anthonyho Newmana, Radovana Vladkoviče, Eduarda Brunnera, Hatto Beyerle.
Postion	Tokenization
1	Akademie
2	Dobříš
3	se
4	chce
5	opírat
6	o
7	některé
8	pedagogy
9	,
10	kteří
11	na
12	Dobříši
13	vedli
14	kursy
15	v
16	minulosti
17	,
18	mezi
19	nimi
20	Alexandra
21	Lonquiche
22	,
23	Anthonyho
24	Newmana
25	,
26	Radovana
27	Vladkoviče
28	,
29	Eduarda
30	Brunnera
31	,
32	Hatto
33	Beyerle
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Akademie	NOUN	4	nsubj
2	Dobříš	PROPN	1	nmod
3	se	PRON	5	expl:pv
4	chce	VERB	0	root
5	opírat	VERB	4	xcomp
6	o	ADP	8	case
7	některé	DET	8	det
8	pedagogy	NOUN	5	obl:arg
9	,	PUNCT	13	punct
10	kteří	DET	13	nsubj
11	na	ADP	12	case
12	Dobříši	PROPN	13	obl
13	vedli	VERB	8	acl:relcl
14	kursy	NOUN	13	obj
15	v	ADP	16	case
16	minulosti	NOUN	13	obl
17	,	PUNCT	19	punct
18	mezi	ADP	19	case
19	nimi	PRON	8	appos
20	Alexandra	PROPN	8	appos
21	Lonquiche	PROPN	20	flat
22	,	PUNCT	23	punct
23	Anthonyho	PROPN	20	conj
24	Newmana	PROPN	23	flat
25	,	PUNCT	26	punct
26	Radovana	PROPN	20	conj
27	Vladkoviče	PROPN	26	flat
28	,	PUNCT	29	punct
29	Eduarda	PROPN	20	conj
30	Brunnera	PROPN	29	flat
31	,	PUNCT	32	punct
32	Hatto	PROPN	20	conj
33	Beyerle	PROPN	32	flat
34	.	PUNCT	4	punct