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:
Cuando hace días dimitía, por sus prácticas fiscales, digamos, atípicas (cada vez menos atípicas, es cierto, a la vista de la que está cayendo...), el "conselleiro" del Gobierno gallego Juan Fernández, el lector medio de periódicos no cayó sin duda en la cuenta de que se trataba del mismo Juan Fernández que hizo a pulso el OAR Ferrol, tarea por la que es universalmente aplaudido... pero en la que ya lució una reprobable afición a jugar con ventaja.
Postion	Tokenization
1	Cuando
2	hace
3	días
4	dimitía
5	,
6	por
7	sus
8	prácticas
9	fiscales
10	,
11	digamos
12	,
13	atípicas
14	(
15	cada
16	vez
17	menos
18	atípicas
19	,
20	es
21	cierto
22	,
23	a
24	la
25	vista
26	de
27	la
28	que
29	está
30	cayendo
31	...
32	)
33	,
34	el
35	"
36	conselleiro
37	"
38	del
39	Gobierno
40	gallego
41	Juan
42	Fernández
43	,
44	el
45	lector
46	medio
47	de
48	periódicos
49	no
50	cayó
51	sin
52	duda
53	en
54	la
55	cuenta
56	de
57	que
58	se
59	trataba
60	del
61	mismo
62	Juan
63	Fernández
64	que
65	hizo
66	a
67	pulso
68	el
69	OAR
70	Ferrol
71	,
72	tarea
73	por
74	la
75	que
76	es
77	universalmente
78	aplaudido
79	...
80	pero
81	en
82	la
83	que
84	ya
85	lució
86	una
87	reprobable
88	afición
89	a
90	jugar
91	con
92	ventaja
93	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuando	SCONJ	4	mark
2	hace	VERB	4	advcl
3	días	NOUN	2	obj
4	dimitía	VERB	50	advcl
5	,	PUNCT	8	punct
6	por	ADP	8	case
7	sus	DET	8	det
8	prácticas	NOUN	4	obl
9	fiscales	ADJ	8	amod
10	,	PUNCT	11	punct
11	digamos	VERB	13	parataxis
12	,	PUNCT	11	punct
13	atípicas	ADJ	8	amod
14	(	PUNCT	18	punct
15	cada	DET	16	det
16	vez	NOUN	18	nmod
17	menos	ADV	16	advmod
18	atípicas	ADJ	13	dep
19	,	PUNCT	20	punct
20	es	NOUN	18	advmod
21	cierto	ADJ	20	fixed
22	,	PUNCT	20	punct
23	a	ADP	18	case
24	la	DET	25	det
25	vista	NOUN	18	nmod
26	de	ADP	30	mark
27	la	DET	30	det
28	que	PRON	30	nsubj
29	está	AUX	30	aux
30	cayendo	VERB	25	acl
31	...	PUNCT	18	punct
32	)	PUNCT	18	punct
33	,	PUNCT	8	punct
34	el	DET	36	det
35	"	PUNCT	36	punct
36	conselleiro	NOUN	4	nsubj
37	"	PUNCT	36	punct
38	del	ADP	39	case
39	Gobierno	PROPN	36	nmod
40	gallego	ADJ	39	amod
41	Juan	PROPN	36	appos
42	Fernández	PROPN	41	flat
43	,	PUNCT	4	punct
44	el	DET	45	det
45	lector	NOUN	50	nsubj
46	medio	ADJ	45	amod
47	de	ADP	48	case
48	periódicos	NOUN	45	nmod
49	no	ADV	50	advmod
50	cayó	VERB	0	root
51	sin	ADP	50	advmod
52	duda	NOUN	51	fixed
53	en	ADP	55	case
54	la	DET	55	det
55	cuenta	NOUN	50	obl
56	de	ADP	59	mark
57	que	SCONJ	59	mark
58	se	PRON	59	expl:impers
59	trataba	VERB	50	ccomp
60	del	ADP	62	case
61	mismo	DET	62	det
62	Juan	PROPN	59	obj
63	Fernández	PROPN	62	flat
64	que	PRON	65	nsubj
65	hizo	VERB	62	acl
66	a	ADP	65	advmod
67	pulso	NOUN	66	fixed
68	el	DET	69	det
69	OAR	PROPN	65	obj
70	Ferrol	PROPN	69	flat
71	,	PUNCT	72	punct
72	tarea	NOUN	65	obj
73	por	ADP	75	case
74	la	DET	75	det
75	que	PRON	78	obl
76	es	AUX	78	cop
77	universalmente	ADV	78	advmod
78	aplaudido	ADJ	72	acl
79	...	PUNCT	85	punct
80	pero	CCONJ	85	cc
81	en	ADP	83	case
82	la	DET	83	det
83	que	PRON	85	obl
84	ya	ADV	85	advmod
85	lució	VERB	78	conj
86	una	DET	88	det
87	reprobable	ADJ	88	amod
88	afición	NOUN	85	obj
89	a	ADP	90	mark
90	jugar	VERB	88	acl
91	con	ADP	92	case
92	ventaja	NOUN	90	obl
93	.	PUNCT	50	punct