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 text: První je fakt, že ačkoli uchazečka dosáhla při přijímacích zkouškách lepších výsledků než mužští uchazeči (bylo jich přijato 17 s horšími výsledky), nebyla ke studiu přijata právě a jenom proto, že je žena.
Position	Tokenization	UPOS	Head	Deprel
1	První	ADJ	0	root
2	je	AUX	1	cop
3	fakt	NOUN	1	nsubj
4	,	PUNCT	30	punct
5	že	SCONJ	30	mark
6	ačkoli	SCONJ	8	mark
7	uchazečka	NOUN	8	nsubj
8	dosáhla	VERB	30	advcl
9	při	ADP	11	case
10	přijímacích	ADJ	11	amod
11	zkouškách	NOUN	8	obl
12	lepších	ADJ	13	amod
13	výsledků	NOUN	8	obl:arg
14	než	SCONJ	16	mark
15	mužští	ADJ	16	amod
16	uchazeči	NOUN	12	advcl
17	(	PUNCT	20	punct
18	bylo	AUX	20	aux:pass
19	jich	PRON	20	nsubj:pass
20	přijato	ADJ	8	parataxis
21	17	NUM	19	nummod:gov
22	s	ADP	24	case
23	horšími	ADJ	24	amod
24	výsledky	NOUN	21	nmod
25	)	PUNCT	20	punct
26	,	PUNCT	8	punct
27	nebyla	AUX	30	aux:pass
28	ke	ADP	29	case
29	studiu	NOUN	30	obl
30	přijata	ADJ	3	amod
31	právě	ADV	34	advmod:emph
32	a	CCONJ	33	cc
33	jenom	PART	31	conj
34	proto	ADV	30	advmod
35	,	PUNCT	38	punct
36	že	SCONJ	38	mark
37	je	AUX	38	cop
38	žena	NOUN	30	advcl
39	.	PUNCT	1	punct