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 Audiencia de Barcelona celebrará el Lunes el juicio por el primero de los tres casos de muertes provocadas por desprendimientos de fachadas en los dos últimos años en Barcelona.
Postion	Tokenization
1	La
2	Audiencia
3	de
4	Barcelona
5	celebrará
6	el
7	Lunes
8	el
9	juicio
10	por
11	el
12	primero
13	de
14	los
15	tres
16	casos
17	de
18	muertes
19	provocadas
20	por
21	desprendimientos
22	de
23	fachadas
24	en
25	los
26	dos
27	últimos
28	años
29	en
30	Barcelona
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Audiencia	PROPN	5	nsubj
3	de	ADP	4	case
4	Barcelona	PROPN	2	flat
5	celebrará	VERB	0	root
6	el	DET	7	det
7	Lunes	NOUN	5	obl
8	el	DET	9	det
9	juicio	NOUN	5	obj
10	por	ADP	12	case
11	el	DET	12	det
12	primero	ADJ	9	amod
13	de	ADP	16	case
14	los	DET	16	det
15	tres	NUM	14	nummod
16	casos	NOUN	12	nmod
17	de	ADP	18	case
18	muertes	NOUN	16	nmod
19	provocadas	ADJ	18	amod
20	por	ADP	21	case
21	desprendimientos	NOUN	19	obj
22	de	ADP	23	case
23	fachadas	NOUN	21	nmod
24	en	ADP	28	case
25	los	DET	28	det
26	dos	NUM	25	nummod
27	últimos	ADJ	28	amod
28	años	NOUN	16	nmod
29	en	ADP	30	case
30	Barcelona	PROPN	16	nmod
31	.	PUNCT	5	punct