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:
En su intento por demostrar que no se dopó, presentó denuncia contra desconocidos, aportando como "cuerpo del delito" varios tubos dentífricos presuntamente manipulados para que diera positivo.
Postion	Tokenization
1	En
2	su
3	intento
4	por
5	demostrar
6	que
7	no
8	se
9	dopó
10	,
11	presentó
12	denuncia
13	contra
14	desconocidos
15	,
16	aportando
17	como
18	"
19	cuerpo
20	del
21	delito
22	"
23	varios
24	tubos
25	dentífricos
26	presuntamente
27	manipulados
28	para
29	que
30	diera
31	positivo
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	su	DET	3	det
3	intento	NOUN	11	obl
4	por	ADP	5	mark
5	demostrar	VERB	3	acl
6	que	SCONJ	9	mark
7	no	ADV	9	advmod
8	se	PRON	9	expl:pv
9	dopó	VERB	5	ccomp
10	,	PUNCT	3	punct
11	presentó	VERB	0	root
12	denuncia	NOUN	11	obj
13	contra	ADP	14	case
14	desconocidos	NOUN	12	nmod
15	,	PUNCT	16	punct
16	aportando	VERB	11	advcl
17	como	SCONJ	19	mark
18	"	PUNCT	19	punct
19	cuerpo	NOUN	16	obl
20	del	ADP	21	case
21	delito	NOUN	19	nmod
22	"	PUNCT	19	punct
23	varios	DET	24	det
24	tubos	NOUN	16	obj
25	dentífricos	ADJ	24	amod
26	presuntamente	ADV	27	advmod
27	manipulados	ADJ	24	amod
28	para	ADP	30	mark
29	que	SCONJ	30	mark
30	diera	VERB	27	advcl
31	positivo	ADJ	30	obj
32	.	PUNCT	11	punct