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:
Xavier Trias insiste en su discurso en que Cataluña necesita más recursos porque el trato fiscal que recibe en la actualidad es "injusto" y puede acabar dañando su competitividad, y además impide al gobierno de la Generalitat ofrecer los mismos servicios que otras autonomías en materia de asistencia sanitaria, atención a la tercera edad o construcción de guarderías.
Postion	Tokenization
1	Xavier
2	Trias
3	insiste
4	en
5	su
6	discurso
7	en
8	que
9	Cataluña
10	necesita
11	más
12	recursos
13	porque
14	el
15	trato
16	fiscal
17	que
18	recibe
19	en
20	la
21	actualidad
22	es
23	"
24	injusto
25	"
26	y
27	puede
28	acabar
29	dañando
30	su
31	competitividad
32	,
33	y
34	además
35	impide
36	al
37	gobierno
38	de
39	la
40	Generalitat
41	ofrecer
42	los
43	mismos
44	servicios
45	que
46	otras
47	autonomías
48	en
49	materia
50	de
51	asistencia
52	sanitaria
53	,
54	atención
55	a
56	la
57	tercera
58	edad
59	o
60	construcción
61	de
62	guarderías
63	.
Position	Tokenization	UPOS	Head	Deprel
1	Xavier	PROPN	3	nsubj
2	Trias	PROPN	1	flat
3	insiste	VERB	0	root
4	en	ADP	6	case
5	su	DET	6	det
6	discurso	NOUN	3	obl
7	en	ADP	10	mark
8	que	SCONJ	10	mark
9	Cataluña	PROPN	10	nsubj
10	necesita	VERB	3	ccomp
11	más	ADV	12	advmod
12	recursos	NOUN	10	obj
13	porque	SCONJ	24	mark
14	el	DET	15	det
15	trato	NOUN	24	nsubj
16	fiscal	ADJ	15	amod
17	que	PRON	18	obj
18	recibe	VERB	15	acl
19	en	ADP	21	case
20	la	DET	21	det
21	actualidad	NOUN	18	obl
22	es	AUX	24	cop
23	"	PUNCT	24	punct
24	injusto	ADJ	10	advcl
25	"	PUNCT	24	punct
26	y	CCONJ	28	cc
27	puede	AUX	28	aux
28	acabar	VERB	24	conj
29	dañando	VERB	28	xcomp
30	su	DET	31	det
31	competitividad	NOUN	29	obj
32	,	PUNCT	35	punct
33	y	CCONJ	35	cc
34	además	ADV	35	advmod
35	impide	VERB	24	conj
36	al	ADP	37	case
37	gobierno	NOUN	35	iobj
38	de	ADP	40	case
39	la	DET	40	det
40	Generalitat	PROPN	37	nmod
41	ofrecer	VERB	35	xcomp
42	los	DET	44	det
43	mismos	DET	42	det
44	servicios	NOUN	41	obj
45	que	PRON	47	nmod
46	otras	DET	47	det
47	autonomías	NOUN	44	nmod
48	en	ADP	51	case
49	materia	NOUN	48	fixed
50	de	ADP	48	fixed
51	asistencia	NOUN	44	nmod
52	sanitaria	ADJ	51	amod
53	,	PUNCT	54	punct
54	atención	NOUN	51	conj
55	a	ADP	58	case
56	la	DET	58	det
57	tercera	ADJ	58	amod
58	edad	NOUN	54	nmod
59	o	CCONJ	60	cc
60	construcción	NOUN	51	conj
61	de	ADP	62	case
62	guarderías	NOUN	60	nmod
63	.	PUNCT	3	punct