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:
Přesto se mu podařilo vystudovat filozofii a právo na Arequipské univerzitě, studia ukončil pracemi "O Kantově teorii prostoru" a "Buržoazní demokratický stát".
Postion	Tokenization
1	Přesto
2	se
3	mu
4	podařilo
5	vystudovat
6	filozofii
7	a
8	právo
9	na
10	Arequipské
11	univerzitě
12	,
13	studia
14	ukončil
15	pracemi
16	"
17	O
18	Kantově
19	teorii
20	prostoru
21	"
22	a
23	"
24	Buržoazní
25	demokratický
26	stát
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Přesto	ADV	4	cc
2	se	PRON	4	expl:pv
3	mu	PRON	4	obl:arg
4	podařilo	VERB	0	root
5	vystudovat	VERB	4	csubj
6	filozofii	NOUN	5	obj
7	a	CCONJ	8	cc
8	právo	NOUN	6	conj
9	na	ADP	11	case
10	Arequipské	ADJ	11	amod
11	univerzitě	NOUN	5	obl
12	,	PUNCT	14	punct
13	studia	NOUN	14	obj
14	ukončil	VERB	4	conj
15	pracemi	NOUN	14	obl
16	"	PUNCT	19	punct
17	O	ADP	19	case
18	Kantově	ADJ	19	amod
19	teorii	NOUN	15	nmod
20	prostoru	NOUN	19	nmod
21	"	PUNCT	19	punct
22	a	CCONJ	26	cc
23	"	PUNCT	26	punct
24	Buržoazní	ADJ	26	amod
25	demokratický	ADJ	26	amod
26	stát	NOUN	19	conj
27	"	PUNCT	26	punct
28	.	PUNCT	4	punct