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:
Un tribunal popular juzga a partir de hoy en la Audiencia de Lleida el asesinato de Emilio Salguero Cortés, muerto a tiros en 1999 tras una discusión por una deuda iniciada en este bar de Lleida.
Postion	Tokenization
1	Un
2	tribunal
3	popular
4	juzga
5	a
6	partir
7	de
8	hoy
9	en
10	la
11	Audiencia
12	de
13	Lleida
14	el
15	asesinato
16	de
17	Emilio
18	Salguero
19	Cortés
20	,
21	muerto
22	a
23	tiros
24	en
25	1999
26	tras
27	una
28	discusión
29	por
30	una
31	deuda
32	iniciada
33	en
34	este
35	bar
36	de
37	Lleida
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	tribunal	NOUN	4	nsubj
3	popular	ADJ	2	amod
4	juzga	VERB	0	root
5	a	ADP	8	case
6	partir	NOUN	5	fixed
7	de	ADP	5	fixed
8	hoy	ADV	4	advmod
9	en	ADP	11	case
10	la	DET	11	det
11	Audiencia	PROPN	4	obl
12	de	ADP	13	case
13	Lleida	PROPN	11	flat
14	el	DET	15	det
15	asesinato	NOUN	4	obj
16	de	ADP	17	case
17	Emilio	PROPN	15	nmod
18	Salguero	PROPN	17	flat
19	Cortés	PROPN	17	flat
20	,	PUNCT	21	punct
21	muerto	ADJ	17	amod
22	a	ADP	23	case
23	tiros	NOUN	21	obl
24	en	ADP	25	case
25	1999	NOUN	21	obl
26	tras	ADP	28	case
27	una	DET	28	det
28	discusión	NOUN	21	obl
29	por	ADP	31	case
30	una	DET	31	det
31	deuda	NOUN	28	nmod
32	iniciada	ADJ	28	amod
33	en	ADP	35	case
34	este	DET	35	det
35	bar	NOUN	32	obl
36	de	ADP	37	case
37	Lleida	PROPN	35	nmod
38	.	PUNCT	4	punct