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:
Los argumentos esgrimidos por la defensa de De la Rosa han sido desestimados en varias ocasiones por el Juzgado Central de Instrucción número 3 de la Audiencia Nacional.
Postion	Tokenization
1	Los
2	argumentos
3	esgrimidos
4	por
5	la
6	defensa
7	de
8	De
9	la
10	Rosa
11	han
12	sido
13	desestimados
14	en
15	varias
16	ocasiones
17	por
18	el
19	Juzgado
20	Central
21	de
22	Instrucción
23	número
24	3
25	de
26	la
27	Audiencia
28	Nacional
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	argumentos	NOUN	13	nsubj
3	esgrimidos	ADJ	2	amod
4	por	ADP	6	case
5	la	DET	6	det
6	defensa	NOUN	3	obj
7	de	ADP	10	case
8	De	ADP	10	case
9	la	DET	10	det
10	Rosa	PROPN	6	nmod
11	han	AUX	13	aux
12	sido	AUX	13	aux
13	desestimados	VERB	0	root
14	en	ADP	16	case
15	varias	DET	16	det
16	ocasiones	NOUN	13	obl
17	por	ADP	19	case
18	el	DET	19	det
19	Juzgado	PROPN	13	obj
20	Central	PROPN	19	flat
21	de	ADP	22	case
22	Instrucción	PROPN	19	flat
23	número	NOUN	19	appos
24	3	NUM	23	appos
25	de	ADP	27	case
26	la	DET	27	det
27	Audiencia	PROPN	19	nmod
28	Nacional	PROPN	27	flat
29	.	PUNCT	13	punct