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:
Pero también a un uso excesivo del teléfono y a una sobredosis de fármacos: probablemente éste sea el caso del protagonista de Dinero, la novela de Martin Amis, que se pasa medio libro discutiendo por teléfono y el otro medio hinchándose de drogas hasta que se le salen por las orejas.
Postion	Tokenization
1	Pero
2	también
3	a
4	un
5	uso
6	excesivo
7	del
8	teléfono
9	y
10	a
11	una
12	sobredosis
13	de
14	fármacos
15	:
16	probablemente
17	éste
18	sea
19	el
20	caso
21	del
22	protagonista
23	de
24	Dinero
25	,
26	la
27	novela
28	de
29	Martin
30	Amis
31	,
32	que
33	se
34	pasa
35	medio
36	libro
37	discutiendo
38	por
39	teléfono
40	y
41	el
42	otro
43	medio
44	hinchándose
45	hinchando
46	se
47	de
48	drogas
49	hasta
50	que
51	se
52	le
53	salen
54	por
55	las
56	orejas
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	2	cc
2	también	ADV	0	root
3	a	ADP	2	case
4	un	DET	5	det
5	uso	NOUN	2	nmod
6	excesivo	ADJ	5	amod
7	del	ADP	8	case
8	teléfono	NOUN	5	nmod
9	y	CCONJ	12	cc
10	a	ADP	12	case
11	una	DET	12	det
12	sobredosis	NOUN	2	conj
13	de	ADP	14	case
14	fármacos	NOUN	12	nmod
15	:	PUNCT	20	punct
16	probablemente	ADV	20	advmod
17	éste	PRON	20	nsubj
18	sea	AUX	20	cop
19	el	DET	20	det
20	caso	NOUN	2	acl
21	del	ADP	22	case
22	protagonista	NOUN	20	nmod
23	de	ADP	24	case
24	Dinero	PROPN	22	nmod
25	,	PUNCT	27	punct
26	la	DET	27	det
27	novela	NOUN	24	appos
28	de	ADP	29	case
29	Martin	PROPN	27	nmod
30	Amis	PROPN	29	flat
31	,	PUNCT	27	punct
32	que	PRON	34	nsubj
33	se	PRON	34	expl:pv
34	pasa	VERB	22	acl
35	medio	NUM	36	nummod
36	libro	NOUN	34	obj
37	discutiendo	VERB	34	advcl
38	por	ADP	39	case
39	teléfono	NOUN	37	obl
40	y	CCONJ	43	cc
41	el	DET	43	det
42	otro	DET	43	det
43	medio	NUM	34	conj
44	hinchándose	_	None	_
45	hinchando	VERB	43	orphan
46	se	PRON	44	expl:pv
47	de	ADP	47	case
48	drogas	NOUN	44	obj
49	hasta	ADP	52	mark
50	que	SCONJ	48	fixed
51	se	PRON	52	expl:pv
52	le	PRON	52	obj
53	salen	VERB	44	advcl
54	por	ADP	55	case
55	las	DET	55	det
56	orejas	NOUN	52	obl
57	.	PUNCT	2	punct