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 portavoz socialista aludió a la dimisión de Josep Borrell como candidato socialista a la presidencia del Gobierno, y afirmó que "es irritante que haya habido personas que vieron alterada su trayectoria política simplemente por su amistad con Aguiar y Huguet, mientras que Piqué, que fue el brazo derecho de quien indujo la corrupción de los inspectores, hable y hable en nombre del Gobierno de España como si tal cosa".
Postion	Tokenization
1	El
2	portavoz
3	socialista
4	aludió
5	a
6	la
7	dimisión
8	de
9	Josep
10	Borrell
11	como
12	candidato
13	socialista
14	a
15	la
16	presidencia
17	del
18	Gobierno
19	,
20	y
21	afirmó
22	que
23	"
24	es
25	irritante
26	que
27	haya
28	habido
29	personas
30	que
31	vieron
32	alterada
33	su
34	trayectoria
35	política
36	simplemente
37	por
38	su
39	amistad
40	con
41	Aguiar
42	y
43	Huguet
44	,
45	mientras
46	que
47	Piqué
48	,
49	que
50	fue
51	el
52	brazo
53	derecho
54	de
55	quien
56	indujo
57	la
58	corrupción
59	de
60	los
61	inspectores
62	,
63	hable
64	y
65	hable
66	en
67	nombre
68	del
69	Gobierno
70	de
71	España
72	como
73	si
74	tal
75	cosa
76	"
77	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	portavoz	NOUN	4	nsubj
3	socialista	ADJ	2	amod
4	aludió	VERB	0	root
5	a	ADP	7	case
6	la	DET	7	det
7	dimisión	NOUN	4	obj
8	de	ADP	9	case
9	Josep	PROPN	7	nmod
10	Borrell	PROPN	9	flat
11	como	SCONJ	12	mark
12	candidato	NOUN	7	nmod
13	socialista	ADJ	12	amod
14	a	ADP	16	case
15	la	DET	16	det
16	presidencia	NOUN	12	nmod
17	del	ADP	18	case
18	Gobierno	PROPN	16	nmod
19	,	PUNCT	21	punct
20	y	CCONJ	21	cc
21	afirmó	VERB	4	conj
22	que	SCONJ	25	mark
23	"	PUNCT	25	punct
24	es	AUX	25	cop
25	irritante	ADJ	21	ccomp
26	que	SCONJ	28	mark
27	haya	AUX	25	aux
28	habido	AUX	27	conj
29	personas	NOUN	28	obj
30	que	PRON	31	nsubj
31	vieron	VERB	29	acl
32	alterada	ADJ	31	obj
33	su	DET	34	det
34	trayectoria	NOUN	31	obj
35	política	ADJ	34	amod
36	simplemente	ADV	31	advmod
37	por	ADP	36	case
38	su	DET	39	det
39	amistad	NOUN	36	nmod
40	con	ADP	41	case
41	Aguiar	PROPN	39	nmod
42	y	CCONJ	43	cc
43	Huguet	PROPN	41	conj
44	,	PUNCT	63	punct
45	mientras	CCONJ	63	cc
46	que	SCONJ	45	fixed
47	Piqué	PROPN	63	nsubj
48	,	PUNCT	52	punct
49	que	PRON	52	nsubj
50	fue	AUX	52	cop
51	el	DET	52	det
52	brazo	NOUN	47	acl
53	derecho	ADJ	52	amod
54	de	ADP	56	mark
55	quien	PRON	56	nsubj
56	indujo	VERB	52	acl
57	la	DET	58	det
58	corrupción	NOUN	56	obj
59	de	ADP	61	case
60	los	DET	61	det
61	inspectores	NOUN	58	nmod
62	,	PUNCT	52	punct
63	hable	VERB	27	conj
64	y	CCONJ	65	cc
65	hable	VERB	63	conj
66	en	ADP	69	case
67	nombre	NOUN	66	fixed
68	del	ADP	66	fixed
69	Gobierno	PROPN	65	obl
70	de	ADP	71	case
71	España	PROPN	69	flat
72	como	SCONJ	65	advmod
73	si	SCONJ	72	fixed
74	tal	NOUN	72	fixed
75	cosa	NOUN	72	fixed
76	"	PUNCT	25	punct
77	.	PUNCT	4	punct