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:
En Catalunya estamos habituados a que la clase política nos recuerde el acierto que fue ceder al sector privado la construcción de esas autopistas que con tanta prosperidad y desarrollo económico - - europeo y diferencial, dicen - - nos han obsequiado muchos años a cambio de unas insignificantes pesetas cada vez que movemos el coche que esa misma prosperidad nos permite malpagar.
Postion	Tokenization
1	En
2	Catalunya
3	estamos
4	habituados
5	a
6	que
7	la
8	clase
9	política
10	nos
11	recuerde
12	el
13	acierto
14	que
15	fue
16	ceder
17	al
18	sector
19	privado
20	la
21	construcción
22	de
23	esas
24	autopistas
25	que
26	con
27	tanta
28	prosperidad
29	y
30	desarrollo
31	económico
32	-
33	-
34	europeo
35	y
36	diferencial
37	,
38	dicen
39	-
40	-
41	nos
42	han
43	obsequiado
44	muchos
45	años
46	a
47	cambio
48	de
49	unas
50	insignificantes
51	pesetas
52	cada
53	vez
54	que
55	movemos
56	el
57	coche
58	que
59	esa
60	misma
61	prosperidad
62	nos
63	permite
64	malpagar
65	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Catalunya	PROPN	4	obl
3	estamos	AUX	4	cop
4	habituados	VERB	0	root
5	a	ADP	11	mark
6	que	SCONJ	11	mark
7	la	DET	8	det
8	clase	NOUN	11	nsubj
9	política	ADJ	8	amod
10	nos	PRON	11	iobj
11	recuerde	VERB	4	ccomp
12	el	DET	13	det
13	acierto	NOUN	11	obj
14	que	PRON	15	nsubj
15	fue	AUX	13	acl
16	ceder	VERB	15	ccomp
17	al	ADP	18	case
18	sector	NOUN	16	obj
19	privado	ADJ	18	amod
20	la	DET	21	det
21	construcción	NOUN	16	obj
22	de	ADP	24	case
23	esas	DET	24	det
24	autopistas	NOUN	21	nmod
25	que	PRON	43	nsubj
26	con	ADP	28	case
27	tanta	DET	28	det
28	prosperidad	NOUN	43	obl
29	y	CCONJ	30	cc
30	desarrollo	NOUN	28	conj
31	económico	ADJ	30	amod
32	-	PUNCT	34	punct
33	-	PUNCT	34	punct
34	europeo	ADJ	30	amod
35	y	CCONJ	36	cc
36	diferencial	ADJ	34	conj
37	,	PUNCT	38	punct
38	dicen	VERB	34	parataxis
39	-	PUNCT	34	punct
40	-	PUNCT	34	punct
41	nos	PRON	43	iobj
42	han	AUX	43	aux
43	obsequiado	VERB	24	acl
44	muchos	DET	45	det
45	años	NOUN	43	obl
46	a	ADP	51	case
47	cambio	NOUN	46	fixed
48	de	ADP	46	fixed
49	unas	DET	51	det
50	insignificantes	ADJ	51	amod
51	pesetas	NOUN	43	obl
52	cada	NOUN	55	mark
53	vez	NOUN	52	fixed
54	que	SCONJ	52	fixed
55	movemos	VERB	43	advcl
56	el	DET	57	det
57	coche	NOUN	55	obj
58	que	PRON	63	iobj
59	esa	DET	61	det
60	misma	DET	59	det
61	prosperidad	NOUN	63	nsubj
62	nos	PRON	63	iobj
63	permite	VERB	57	acl
64	malpagar	VERB	63	xcomp
65	.	PUNCT	4	punct