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 se produjeron el pasado domingo en la localidad de Ris-Orangis (sur de París) y fueron grabados por un adolescente que vive en una casa cercana al lugar donde ocurrió la supuesta agresión.
Postion	Tokenization
1	Los
2	hechos
3	se
4	produjeron
5	el
6	pasado
7	domingo
8	en
9	la
10	localidad
11	de
12	Ris-Orangis
13	(
14	sur
15	de
16	París
17	)
18	y
19	fueron
20	grabados
21	por
22	un
23	adolescente
24	que
25	vive
26	en
27	una
28	casa
29	cercana
30	al
31	lugar
32	donde
33	ocurrió
34	la
35	supuesta
36	agresión
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	hechos	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	produjeron	VERB	0	root
5	el	DET	7	det
6	pasado	ADJ	7	amod
7	domingo	NOUN	4	obl
8	en	ADP	10	case
9	la	DET	10	det
10	localidad	NOUN	4	obl
11	de	ADP	12	case
12	Ris-Orangis	PROPN	10	nmod
13	(	PUNCT	14	punct
14	sur	NOUN	12	appos
15	de	ADP	16	case
16	París	PROPN	14	nmod
17	)	PUNCT	14	punct
18	y	CCONJ	20	cc
19	fueron	AUX	20	aux
20	grabados	VERB	4	conj
21	por	ADP	23	case
22	un	DET	23	det
23	adolescente	NOUN	20	obj
24	que	PRON	25	nsubj
25	vive	VERB	23	acl
26	en	ADP	28	case
27	una	DET	28	det
28	casa	NOUN	25	obl
29	cercana	ADJ	28	amod
30	al	ADP	31	case
31	lugar	NOUN	29	nmod
32	donde	PRON	33	obl
33	ocurrió	VERB	31	acl
34	la	DET	36	det
35	supuesta	ADJ	36	amod
36	agresión	NOUN	33	nsubj
37	.	PUNCT	4	punct