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 declaración se produjo en la segunda jornada del juicio por homicidio imprudente contra su dueño, que aparece a la izquierda de la foto.
Postion	Tokenization
1	La
2	declaración
3	se
4	produjo
5	en
6	la
7	segunda
8	jornada
9	del
10	juicio
11	por
12	homicidio
13	imprudente
14	contra
15	su
16	dueño
17	,
18	que
19	aparece
20	a
21	la
22	izquierda
23	de
24	la
25	foto
26	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	declaración	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	produjo	VERB	0	root
5	en	ADP	8	case
6	la	DET	8	det
7	segunda	ADJ	8	amod
8	jornada	NOUN	4	obl
9	del	ADP	10	case
10	juicio	NOUN	8	nmod
11	por	ADP	12	case
12	homicidio	NOUN	10	nmod
13	imprudente	ADJ	12	amod
14	contra	ADP	16	case
15	su	DET	16	det
16	dueño	NOUN	10	nmod
17	,	PUNCT	19	punct
18	que	PRON	19	nsubj
19	aparece	VERB	16	acl
20	a	ADP	22	case
21	la	DET	22	det
22	izquierda	NOUN	19	obl
23	de	ADP	25	case
24	la	DET	25	det
25	foto	NOUN	22	nmod
26	.	PUNCT	4	punct