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: Druhý kandidát John Alexander (41), který po ústupu ze slávy australských tenistů také přicházel v úvahu, připustil, že se o funkci kapitána bude ucházet i příští rok.
Position	Tokenization	UPOS	Head	Deprel
1	Druhý	ADJ	2	amod
2	kandidát	NOUN	21	nsubj
3	John	PROPN	2	flat
4	Alexander	PROPN	2	flat
5	(	PUNCT	2	punct
6	41	NUM	2	dep
7	)	PUNCT	2	punct
8	,	PUNCT	17	punct
9	který	DET	17	nsubj
10	po	ADP	11	case
11	ústupu	NOUN	17	obl
12	ze	ADP	13	case
13	slávy	NOUN	11	nmod
14	australských	ADJ	15	amod
15	tenistů	NOUN	13	nmod
16	také	ADV	17	advmod
17	přicházel	VERB	2	acl:relcl
18	v	ADP	19	case
19	úvahu	NOUN	17	obl:arg
20	,	PUNCT	17	punct
21	připustil	VERB	0	root
22	,	PUNCT	29	punct
23	že	SCONJ	29	mark
24	se	PRON	29	expl:pv
25	o	ADP	26	case
26	funkci	NOUN	29	obl:arg
27	kapitána	NOUN	26	nmod
28	bude	AUX	29	aux
29	ucházet	VERB	21	ccomp
30	i	CCONJ	32	advmod:emph
31	příští	ADJ	32	amod
32	rok	NOUN	29	obl
33	.	PUNCT	21	punct