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:
Ani jeden z kandidátů na premiéra - socialistický vůdce Antonio Guterres či nový šéf PSD Nogueira - nemá stoprocentní podporu veřejnosti, o niž se mohl opírat Silva.
Postion	Tokenization
1	Ani
2	jeden
3	z
4	kandidátů
5	na
6	premiéra
7	-
8	socialistický
9	vůdce
10	Antonio
11	Guterres
12	či
13	nový
14	šéf
15	PSD
16	Nogueira
17	-
18	nemá
19	stoprocentní
20	podporu
21	veřejnosti
22	,
23	o
24	niž
25	se
26	mohl
27	opírat
28	Silva
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Ani	CCONJ	2	advmod:emph
2	jeden	NUM	18	nsubj
3	z	ADP	4	case
4	kandidátů	NOUN	2	nmod
5	na	ADP	6	case
6	premiéra	NOUN	4	nmod
7	-	PUNCT	9	punct
8	socialistický	ADJ	9	amod
9	vůdce	NOUN	2	appos
10	Antonio	PROPN	9	flat
11	Guterres	PROPN	9	flat
12	či	CCONJ	14	cc
13	nový	ADJ	14	amod
14	šéf	NOUN	9	conj
15	PSD	PROPN	14	nmod
16	Nogueira	PROPN	14	flat
17	-	PUNCT	9	punct
18	nemá	VERB	0	root
19	stoprocentní	ADJ	20	amod
20	podporu	NOUN	18	obj
21	veřejnosti	NOUN	20	nmod
22	,	PUNCT	26	punct
23	o	ADP	24	case
24	niž	PRON	27	obl:arg
25	se	PRON	27	expl:pv
26	mohl	VERB	20	acl:relcl
27	opírat	VERB	26	xcomp
28	Silva	PROPN	26	nsubj
29	.	PUNCT	18	punct