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 que están contra los drogadictos más que contra la droga - - aquí no es lo de Concepción Arenal: odia el delito y compadece al delincuente - - pueden aplicarse esta receta: ayer, a las dos de la madrugada, un Opel se llevó por delante a un individuo que cruzaba la Ronda Litoral para ir al Can Tunis Vell, donde anida la droga esperando su erradicación.
Postion	Tokenization
1	Los
2	que
3	están
4	contra
5	los
6	drogadictos
7	más
8	que
9	contra
10	la
11	droga
12	-
13	-
14	aquí
15	no
16	es
17	lo
18	de
19	Concepción
20	Arenal
21	:
22	odia
23	el
24	delito
25	y
26	compadece
27	al
28	delincuente
29	-
30	-
31	pueden
32	aplicarse
33	aplicar
34	se
35	esta
36	receta
37	:
38	ayer
39	,
40	a
41	las
42	dos
43	de
44	la
45	madrugada
46	,
47	un
48	Opel
49	se
50	llevó
51	por
52	delante
53	a
54	un
55	individuo
56	que
57	cruzaba
58	la
59	Ronda
60	Litoral
61	para
62	ir
63	al
64	Can
65	Tunis
66	Vell
67	,
68	donde
69	anida
70	la
71	droga
72	esperando
73	su
74	erradicación
75	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	6	det
2	que	PRON	6	nsubj
3	están	AUX	6	cop
4	contra	ADP	6	case
5	los	DET	6	det
6	drogadictos	NOUN	32	csubj
7	más	ADV	6	advmod
8	que	SCONJ	11	mark
9	contra	ADP	11	case
10	la	DET	11	det
11	droga	NOUN	6	obl
12	-	PUNCT	17	punct
13	-	PUNCT	17	punct
14	aquí	ADV	17	advmod
15	no	ADV	17	advmod
16	es	AUX	17	cop
17	lo	PRON	32	parataxis
18	de	ADP	19	case
19	Concepción	PROPN	17	nmod
20	Arenal	PROPN	19	flat
21	:	PUNCT	22	punct
22	odia	VERB	17	advcl
23	el	DET	24	det
24	delito	NOUN	22	obj
25	y	CCONJ	26	cc
26	compadece	VERB	22	conj
27	al	ADP	28	case
28	delincuente	NOUN	26	obj
29	-	PUNCT	17	punct
30	-	PUNCT	17	punct
31	pueden	AUX	32	aux
32	aplicarse	_	None	_
33	aplicar	VERB	0	root
34	se	PRON	32	iobj
35	esta	DET	35	det
36	receta	NOUN	32	obj
37	:	PUNCT	49	punct
38	ayer	ADV	49	advmod
39	,	PUNCT	41	punct
40	a	ADP	41	case
41	las	DET	41	det
42	dos	NUM	37	obl
43	de	ADP	44	case
44	la	DET	44	det
45	madrugada	NOUN	41	nmod
46	,	PUNCT	41	punct
47	un	DET	47	det
48	Opel	PROPN	49	nsubj
49	se	PRON	49	iobj
50	llevó	VERB	32	advcl
51	por	ADP	51	case
52	delante	ADV	49	advmod
53	a	ADP	54	case
54	un	DET	54	det
55	individuo	NOUN	49	obj
56	que	PRON	56	nsubj
57	cruzaba	VERB	54	acl
58	la	DET	58	det
59	Ronda	PROPN	56	obj
60	Litoral	PROPN	58	flat
61	para	ADP	61	mark
62	ir	VERB	56	advcl
63	al	ADP	63	case
64	Can	PROPN	61	obl
65	Tunis	PROPN	63	flat
66	Vell	PROPN	63	flat
67	,	PUNCT	68	punct
68	donde	PRON	68	obl
69	anida	VERB	63	acl
70	la	DET	70	det
71	droga	NOUN	68	nsubj
72	esperando	VERB	70	acl
73	su	DET	73	det
74	erradicación	NOUN	71	obj
75	.	PUNCT	32	punct