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:
El responsable del CUAM, José Antonio Tortosa, asegura que "nunca ha habido problemas graves con la utilización de los metamidofos, ya que la dosis letal es de 250 kilos de pimientos diarios, y eso (dice con ironía) es difícil que alguien lo digiera".
Postion	Tokenization
1	El
2	responsable
3	del
4	CUAM
5	,
6	José
7	Antonio
8	Tortosa
9	,
10	asegura
11	que
12	"
13	nunca
14	ha
15	habido
16	problemas
17	graves
18	con
19	la
20	utilización
21	de
22	los
23	metamidofos
24	,
25	ya
26	que
27	la
28	dosis
29	letal
30	es
31	de
32	250
33	kilos
34	de
35	pimientos
36	diarios
37	,
38	y
39	eso
40	(
41	dice
42	con
43	ironía
44	)
45	es
46	difícil
47	que
48	alguien
49	lo
50	digiera
51	"
52	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	responsable	NOUN	10	nsubj
3	del	ADP	4	case
4	CUAM	PROPN	2	nmod
5	,	PUNCT	6	punct
6	José	PROPN	2	appos
7	Antonio	PROPN	6	flat
8	Tortosa	PROPN	6	flat
9	,	PUNCT	6	punct
10	asegura	VERB	0	root
11	que	SCONJ	15	mark
12	"	PUNCT	13	punct
13	nunca	ADV	15	advmod
14	ha	AUX	10	aux
15	habido	AUX	10	ccomp
16	problemas	NOUN	15	obj
17	graves	ADJ	16	amod
18	con	ADP	20	case
19	la	DET	20	det
20	utilización	NOUN	16	nmod
21	de	ADP	23	case
22	los	DET	23	det
23	metamidofos	NOUN	20	nmod
24	,	PUNCT	33	punct
25	ya	ADV	33	mark
26	que	SCONJ	25	fixed
27	la	DET	28	det
28	dosis	NOUN	33	nsubj
29	letal	ADJ	28	amod
30	es	AUX	33	cop
31	de	ADP	33	case
32	250	NUM	33	nummod
33	kilos	NOUN	15	advcl
34	de	ADP	35	case
35	pimientos	NOUN	33	nmod
36	diarios	ADJ	33	amod
37	,	PUNCT	46	punct
38	y	CCONJ	46	cc
39	eso	PRON	46	nsubj
40	(	PUNCT	41	punct
41	dice	VERB	46	parataxis
42	con	ADP	43	case
43	ironía	NOUN	41	obl
44	)	PUNCT	41	punct
45	es	AUX	46	cop
46	difícil	ADJ	33	conj
47	que	SCONJ	50	mark
48	alguien	PRON	50	nsubj
49	lo	PRON	50	obj
50	digiera	VERB	46	csubj
51	"	PUNCT	15	punct
52	.	PUNCT	10	punct