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:
"Es un viaje personal por lo que fue su vida y su obra, a base de fragmentos confeccionados por mí sobre textos no literarios de Bonet: entrevistas, artículos y una grabación de vídeo, de cuatro horas de duración, hecha por la Universitat de les Illes Balears", dijo Tosar el pasado viernes, al presentar su espectáculo, que fue estrenado en el pasado Grec y del que ha dado varias representaciones en tierra balear.
Postion	Tokenization
1	"
2	Es
3	un
4	viaje
5	personal
6	por
7	lo
8	que
9	fue
10	su
11	vida
12	y
13	su
14	obra
15	,
16	a
17	base
18	de
19	fragmentos
20	confeccionados
21	por
22	mí
23	sobre
24	textos
25	no
26	literarios
27	de
28	Bonet
29	:
30	entrevistas
31	,
32	artículos
33	y
34	una
35	grabación
36	de
37	vídeo
38	,
39	de
40	cuatro
41	horas
42	de
43	duración
44	,
45	hecha
46	por
47	la
48	Universitat
49	de
50	les
51	Illes
52	Balears
53	"
54	,
55	dijo
56	Tosar
57	el
58	pasado
59	viernes
60	,
61	al
62	presentar
63	su
64	espectáculo
65	,
66	que
67	fue
68	estrenado
69	en
70	el
71	pasado
72	Grec
73	y
74	del
75	que
76	ha
77	dado
78	varias
79	representaciones
80	en
81	tierra
82	balear
83	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Es	AUX	4	cop
3	un	DET	4	det
4	viaje	NOUN	55	ccomp
5	personal	ADJ	4	amod
6	por	ADP	11	case
7	lo	PRON	11	det
8	que	PRON	11	nsubj
9	fue	AUX	11	cop
10	su	DET	11	det
11	vida	NOUN	4	acl
12	y	CCONJ	14	cc
13	su	DET	14	det
14	obra	NOUN	11	conj
15	,	PUNCT	11	punct
16	a	ADP	19	case
17	base	NOUN	16	fixed
18	de	ADP	16	fixed
19	fragmentos	NOUN	4	nmod
20	confeccionados	ADJ	19	amod
21	por	ADP	22	case
22	mí	PRON	20	obj
23	sobre	ADP	24	case
24	textos	NOUN	19	nmod
25	no	ADV	26	advmod
26	literarios	ADJ	24	amod
27	de	ADP	28	case
28	Bonet	PROPN	24	nmod
29	:	PUNCT	30	punct
30	entrevistas	NOUN	24	appos
31	,	PUNCT	32	punct
32	artículos	NOUN	30	appos
33	y	CCONJ	35	cc
34	una	DET	35	det
35	grabación	NOUN	30	conj
36	de	ADP	37	case
37	vídeo	NOUN	35	nmod
38	,	PUNCT	41	punct
39	de	ADP	41	case
40	cuatro	NUM	41	nummod
41	horas	NOUN	35	nmod
42	de	ADP	43	case
43	duración	NOUN	41	nmod
44	,	PUNCT	45	punct
45	hecha	ADJ	35	amod
46	por	ADP	48	case
47	la	DET	48	det
48	Universitat	PROPN	45	obj
49	de	ADP	51	case
50	les	PRON	51	det
51	Illes	PROPN	48	flat
52	Balears	PROPN	51	flat
53	"	PUNCT	4	punct
54	,	PUNCT	4	punct
55	dijo	VERB	0	root
56	Tosar	PROPN	55	nsubj
57	el	DET	59	det
58	pasado	ADJ	59	amod
59	viernes	NOUN	55	obl
60	,	PUNCT	62	punct
61	al	ADP	62	mark
62	presentar	VERB	55	advcl
63	su	DET	64	det
64	espectáculo	NOUN	62	obj
65	,	PUNCT	68	punct
66	que	PRON	68	nsubj
67	fue	AUX	68	aux
68	estrenado	VERB	64	acl
69	en	ADP	72	case
70	el	DET	72	det
71	pasado	ADJ	72	amod
72	Grec	PROPN	68	obl
73	y	CCONJ	77	cc
74	del	ADP	75	case
75	que	PRON	77	obj
76	ha	AUX	77	aux
77	dado	VERB	68	conj
78	varias	DET	79	det
79	representaciones	NOUN	77	obj
80	en	ADP	81	case
81	tierra	NOUN	77	obl
82	balear	ADJ	81	amod
83	.	PUNCT	55	punct