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:
Pido a Correos que respete la visibilidad del abrevadero que tenemos en la plaza de Vallvidrera, colocando los buzones entre el pino y el poste de la luz: así podremos disfrutar de su visión con claridad y podremos leer un pequeño trozo de una poesía de Joan Maragall, que dice: "Ai boscos de Vallvidrera / quines sentors m'heu donat...".
Postion	Tokenization
1	Pido
2	a
3	Correos
4	que
5	respete
6	la
7	visibilidad
8	del
9	abrevadero
10	que
11	tenemos
12	en
13	la
14	plaza
15	de
16	Vallvidrera
17	,
18	colocando
19	los
20	buzones
21	entre
22	el
23	pino
24	y
25	el
26	poste
27	de
28	la
29	luz
30	:
31	así
32	podremos
33	disfrutar
34	de
35	su
36	visión
37	con
38	claridad
39	y
40	podremos
41	leer
42	un
43	pequeño
44	trozo
45	de
46	una
47	poesía
48	de
49	Joan
50	Maragall
51	,
52	que
53	dice
54	:
55	"
56	Ai
57	boscos
58	de
59	Vallvidrera
60	/
61	quines
62	sentors
63	m'heu
64	donat
65	...
66	"
67	.
Position	Tokenization	UPOS	Head	Deprel
1	Pido	VERB	0	root
2	a	ADP	3	case
3	Correos	PROPN	1	iobj
4	que	SCONJ	5	mark
5	respete	VERB	1	ccomp
6	la	DET	7	det
7	visibilidad	NOUN	5	obj
8	del	ADP	9	case
9	abrevadero	NOUN	7	nmod
10	que	PRON	11	obj
11	tenemos	VERB	9	acl
12	en	ADP	14	case
13	la	DET	14	det
14	plaza	NOUN	11	obl
15	de	ADP	16	case
16	Vallvidrera	PROPN	14	nmod
17	,	PUNCT	18	punct
18	colocando	VERB	5	advcl
19	los	DET	20	det
20	buzones	NOUN	18	obj
21	entre	ADP	23	case
22	el	DET	23	det
23	pino	NOUN	18	obl
24	y	CCONJ	26	cc
25	el	DET	26	det
26	poste	NOUN	23	conj
27	de	ADP	29	case
28	la	DET	29	det
29	luz	NOUN	26	nmod
30	:	PUNCT	33	punct
31	así	ADV	33	advmod
32	podremos	AUX	33	aux
33	disfrutar	VERB	1	advcl
34	de	ADP	36	case
35	su	DET	36	det
36	visión	NOUN	33	obj
37	con	ADP	38	case
38	claridad	NOUN	33	obl
39	y	CCONJ	41	cc
40	podremos	AUX	41	aux
41	leer	VERB	33	conj
42	un	DET	44	det
43	pequeño	ADJ	44	amod
44	trozo	NOUN	41	obj
45	de	ADP	47	case
46	una	DET	47	det
47	poesía	NOUN	44	nmod
48	de	ADP	49	case
49	Joan	PROPN	47	nmod
50	Maragall	PROPN	49	flat
51	,	PUNCT	53	punct
52	que	PRON	53	nsubj
53	dice	VERB	47	acl
54	:	PUNCT	56	punct
55	"	PUNCT	56	punct
56	Ai	PROPN	53	obj
57	boscos	PROPN	56	flat
58	de	ADP	59	case
59	Vallvidrera	PROPN	56	flat
60	/	PUNCT	56	punct
61	quines	PROPN	56	flat
62	sentors	PROPN	61	flat
63	m'heu	PROPN	61	flat
64	donat	PROPN	61	flat
65	...	PUNCT	56	punct
66	"	PUNCT	56	punct
67	.	PUNCT	1	punct