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:
La tesis de la acusación pública fue desestimada tanto por el juez instructor como por la Audiencia de Barcelona, que ordenaron que el caso fuese juzgado por una falta de imprudencia leve con resultado de muerte y lesiones.
Postion	Tokenization
1	La
2	tesis
3	de
4	la
5	acusación
6	pública
7	fue
8	desestimada
9	tanto
10	por
11	el
12	juez
13	instructor
14	como
15	por
16	la
17	Audiencia
18	de
19	Barcelona
20	,
21	que
22	ordenaron
23	que
24	el
25	caso
26	fuese
27	juzgado
28	por
29	una
30	falta
31	de
32	imprudencia
33	leve
34	con
35	resultado
36	de
37	muerte
38	y
39	lesiones
40	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	tesis	NOUN	8	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	acusación	NOUN	2	nmod
6	pública	ADJ	5	amod
7	fue	AUX	8	aux
8	desestimada	VERB	0	root
9	tanto	ADV	12	cc
10	por	ADP	12	case
11	el	DET	12	det
12	juez	NOUN	8	obj
13	instructor	NOUN	12	nmod
14	como	SCONJ	17	cc
15	por	ADP	17	case
16	la	DET	17	det
17	Audiencia	PROPN	12	conj
18	de	ADP	19	case
19	Barcelona	PROPN	17	flat
20	,	PUNCT	22	punct
21	que	PRON	22	nsubj
22	ordenaron	VERB	8	advcl
23	que	SCONJ	27	mark
24	el	DET	25	det
25	caso	NOUN	27	nsubj
26	fuese	AUX	27	aux
27	juzgado	VERB	22	ccomp
28	por	ADP	30	case
29	una	DET	30	det
30	falta	NOUN	27	obl
31	de	ADP	32	case
32	imprudencia	NOUN	30	nmod
33	leve	ADJ	32	amod
34	con	ADP	35	case
35	resultado	NOUN	32	nmod
36	de	ADP	37	case
37	muerte	NOUN	35	nmod
38	y	CCONJ	39	cc
39	lesiones	NOUN	37	conj
40	.	PUNCT	8	punct