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: A protože předtím zvládl i nejtěžší výstup světa Agincourt rovněž ve Francii, stal se příslušníkem absolutní špičky, teprve třetím lezcem na světě, který uskutečnil dva výstupy 8c.
Position	Tokenization	UPOS	Head	Deprel
1	A	CCONJ	14	cc
2	protože	SCONJ	4	mark
3	předtím	ADV	4	advmod
4	zvládl	VERB	14	advcl
5	i	CCONJ	7	advmod:emph
6	nejtěžší	ADJ	7	amod
7	výstup	NOUN	4	obj
8	světa	NOUN	7	nmod
9	Agincourt	PROPN	7	nmod
10	rovněž	ADV	4	advmod
11	ve	ADP	12	case
12	Francii	PROPN	4	obl
13	,	PUNCT	4	punct
14	stal	VERB	0	root
15	se	PRON	14	expl:pv
16	příslušníkem	NOUN	14	obl:arg
17	absolutní	ADJ	18	amod
18	špičky	NOUN	16	nmod
19	,	PUNCT	22	punct
20	teprve	ADV	21	advmod:emph
21	třetím	ADJ	22	amod
22	lezcem	NOUN	16	conj
23	na	ADP	24	case
24	světě	NOUN	22	nmod
25	,	PUNCT	27	punct
26	který	DET	27	nsubj
27	uskutečnil	VERB	22	acl:relcl
28	dva	NUM	29	nummod
29	výstupy	NOUN	27	obj
30	8	NUM	31	nummod
31	c	NOUN	29	nmod
32	.	PUNCT	14	punct