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 policía detuvo el Lunes en Sevilla a un hombre en cuyo domicilio fueron halladas 7.000 fotos eróticas de menores y 100 vídeos de similar contenido.
Postion	Tokenization
1	La
2	policía
3	detuvo
4	el
5	Lunes
6	en
7	Sevilla
8	a
9	un
10	hombre
11	en
12	cuyo
13	domicilio
14	fueron
15	halladas
16	7.000
17	fotos
18	eróticas
19	de
20	menores
21	y
22	100
23	vídeos
24	de
25	similar
26	contenido
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	policía	NOUN	3	nsubj
3	detuvo	VERB	0	root
4	el	DET	5	det
5	Lunes	NOUN	3	obl
6	en	ADP	7	case
7	Sevilla	PROPN	3	obl
8	a	ADP	10	case
9	un	DET	10	det
10	hombre	NOUN	3	obj
11	en	ADP	13	case
12	cuyo	PRON	13	nmod
13	domicilio	NOUN	15	obl
14	fueron	AUX	15	aux
15	halladas	VERB	10	acl
16	7.000	NUM	17	nummod
17	fotos	NOUN	15	nsubj
18	eróticas	ADJ	17	amod
19	de	ADP	20	case
20	menores	ADJ	17	amod
21	y	CCONJ	23	cc
22	100	NUM	23	nummod
23	vídeos	NOUN	17	conj
24	de	ADP	26	case
25	similar	ADJ	26	amod
26	contenido	NOUN	23	nmod
27	.	PUNCT	3	punct