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:
El afectado ha jurado que es inocente y que cree que ha sido víctima de una conspiración con el propósito de arruinar su futuro y su reputación de atleta "limpio".
Postion	Tokenization
1	El
2	afectado
3	ha
4	jurado
5	que
6	es
7	inocente
8	y
9	que
10	cree
11	que
12	ha
13	sido
14	víctima
15	de
16	una
17	conspiración
18	con
19	el
20	propósito
21	de
22	arruinar
23	su
24	futuro
25	y
26	su
27	reputación
28	de
29	atleta
30	"
31	limpio
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	afectado	ADJ	4	nsubj
3	ha	AUX	4	aux
4	jurado	VERB	0	root
5	que	SCONJ	7	mark
6	es	AUX	7	cop
7	inocente	ADJ	4	ccomp
8	y	CCONJ	10	cc
9	que	SCONJ	10	mark
10	cree	VERB	7	conj
11	que	SCONJ	14	mark
12	ha	AUX	14	aux
13	sido	AUX	14	cop
14	víctima	NOUN	10	ccomp
15	de	ADP	17	case
16	una	DET	17	det
17	conspiración	NOUN	14	nmod
18	con	ADP	20	case
19	el	DET	20	det
20	propósito	NOUN	17	nmod
21	de	ADP	22	mark
22	arruinar	VERB	20	acl
23	su	DET	24	det
24	futuro	NOUN	22	obj
25	y	CCONJ	27	cc
26	su	DET	27	det
27	reputación	NOUN	24	conj
28	de	ADP	29	case
29	atleta	NOUN	27	nmod
30	"	PUNCT	31	punct
31	limpio	ADJ	29	amod
32	"	PUNCT	31	punct
33	.	PUNCT	4	punct