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 tribunales celebraron otros 19 juicios en los que existía delito, dictando una sola sentencia absolutoria y 18 condenatorias (en 12 se impuso la pena de alejamiento).
Postion	Tokenization
1	Los
2	tribunales
3	celebraron
4	otros
5	19
6	juicios
7	en
8	los
9	que
10	existía
11	delito
12	,
13	dictando
14	una
15	sola
16	sentencia
17	absolutoria
18	y
19	18
20	condenatorias
21	(
22	en
23	12
24	se
25	impuso
26	la
27	pena
28	de
29	alejamiento
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	tribunales	NOUN	3	nsubj
3	celebraron	VERB	0	root
4	otros	PRON	5	nmod
5	19	NUM	6	nummod
6	juicios	NOUN	3	obj
7	en	ADP	9	case
8	los	DET	9	det
9	que	PRON	10	obl
10	existía	VERB	6	acl
11	delito	NOUN	10	nsubj
12	,	PUNCT	13	punct
13	dictando	VERB	3	advcl
14	una	DET	16	det
15	sola	ADJ	16	amod
16	sentencia	NOUN	13	obj
17	absolutoria	ADJ	16	amod
18	y	CCONJ	19	cc
19	18	NUM	16	conj
20	condenatorias	ADJ	19	amod
21	(	PUNCT	25	punct
22	en	ADP	23	case
23	12	NUM	25	obl
24	se	PRON	25	expl:pass
25	impuso	VERB	19	parataxis
26	la	DET	27	det
27	pena	NOUN	25	nsubj
28	de	ADP	29	case
29	alejamiento	NOUN	27	nmod
30	)	PUNCT	25	punct
31	.	PUNCT	3	punct