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 hechos ocurrieron la semana pasada cuando Inocencio Salazar, conocido como El Fati, atacó a otro recluso sin mediar palabra y sin que hubieran protagonizado ninguna discusión.
Postion	Tokenization
1	Los
2	hechos
3	ocurrieron
4	la
5	semana
6	pasada
7	cuando
8	Inocencio
9	Salazar
10	,
11	conocido
12	como
13	El
14	Fati
15	,
16	atacó
17	a
18	otro
19	recluso
20	sin
21	mediar
22	palabra
23	y
24	sin
25	que
26	hubieran
27	protagonizado
28	ninguna
29	discusión
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	hechos	NOUN	3	nsubj
3	ocurrieron	VERB	0	root
4	la	DET	5	det
5	semana	NOUN	3	obl
6	pasada	ADJ	5	amod
7	cuando	PRON	16	obl
8	Inocencio	PROPN	16	nsubj
9	Salazar	PROPN	8	flat
10	,	PUNCT	11	punct
11	conocido	ADJ	8	amod
12	como	SCONJ	14	mark
13	El	DET	14	det
14	Fati	PROPN	11	obj
15	,	PUNCT	11	punct
16	atacó	VERB	5	acl
17	a	ADP	19	case
18	otro	DET	19	det
19	recluso	NOUN	16	obj
20	sin	ADP	21	mark
21	mediar	VERB	16	advcl
22	palabra	NOUN	21	obj
23	y	CCONJ	27	cc
24	sin	ADP	27	mark
25	que	SCONJ	27	mark
26	hubieran	AUX	27	aux
27	protagonizado	VERB	21	conj
28	ninguna	DET	29	det
29	discusión	NOUN	27	obj
30	.	PUNCT	3	punct