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:
Se trata de una pieza excelentemente situada, junto a uno de los edificios más bellos del paseo, el Palau Moja, y sobre la que el grupo municipal de IC-V ya ha planteado una propuesta a Joan Clos: que el Ayuntamiento de Barcelona la compre en colaboración con la Generalitat para poder derribar así el primer piso, que oculta parcialmente el Palau Moja, y se devuelva al lugar el diseño de balcón sobre la Rambla que tenía antes de 1935.
Postion	Tokenization
1	Se
2	trata
3	de
4	una
5	pieza
6	excelentemente
7	situada
8	,
9	junto
10	a
11	uno
12	de
13	los
14	edificios
15	más
16	bellos
17	del
18	paseo
19	,
20	el
21	Palau
22	Moja
23	,
24	y
25	sobre
26	la
27	que
28	el
29	grupo
30	municipal
31	de
32	IC-V
33	ya
34	ha
35	planteado
36	una
37	propuesta
38	a
39	Joan
40	Clos
41	:
42	que
43	el
44	Ayuntamiento
45	de
46	Barcelona
47	la
48	compre
49	en
50	colaboración
51	con
52	la
53	Generalitat
54	para
55	poder
56	derribar
57	así
58	el
59	primer
60	piso
61	,
62	que
63	oculta
64	parcialmente
65	el
66	Palau
67	Moja
68	,
69	y
70	se
71	devuelva
72	al
73	lugar
74	el
75	diseño
76	de
77	balcón
78	sobre
79	la
80	Rambla
81	que
82	tenía
83	antes
84	de
85	1935
86	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:impers
2	trata	VERB	0	root
3	de	ADP	5	case
4	una	DET	5	det
5	pieza	NOUN	2	obj
6	excelentemente	ADV	7	advmod
7	situada	ADJ	5	amod
8	,	PUNCT	11	punct
9	junto	ADJ	11	case
10	a	ADP	9	fixed
11	uno	PRON	7	obl
12	de	ADP	14	case
13	los	DET	14	det
14	edificios	NOUN	11	nmod
15	más	ADV	16	advmod
16	bellos	ADJ	14	amod
17	del	ADP	18	case
18	paseo	NOUN	14	nmod
19	,	PUNCT	21	punct
20	el	DET	21	det
21	Palau	PROPN	11	appos
22	Moja	PROPN	21	flat
23	,	PUNCT	21	punct
24	y	CCONJ	35	cc
25	sobre	ADP	27	case
26	la	DET	27	det
27	que	PRON	35	obl
28	el	DET	29	det
29	grupo	NOUN	35	nsubj
30	municipal	ADJ	29	amod
31	de	ADP	32	case
32	IC-V	PROPN	29	nmod
33	ya	ADV	35	advmod
34	ha	AUX	35	aux
35	planteado	VERB	7	conj
36	una	DET	37	det
37	propuesta	NOUN	35	obj
38	a	ADP	39	case
39	Joan	PROPN	35	obj
40	Clos	PROPN	39	flat
41	:	PUNCT	48	punct
42	que	SCONJ	48	mark
43	el	DET	44	det
44	Ayuntamiento	PROPN	48	nsubj
45	de	ADP	46	case
46	Barcelona	PROPN	44	flat
47	la	PRON	48	obj
48	compre	VERB	35	advcl
49	en	ADP	50	case
50	colaboración	NOUN	48	obl
51	con	ADP	53	case
52	la	DET	53	det
53	Generalitat	PROPN	50	nmod
54	para	ADP	56	mark
55	poder	AUX	56	aux
56	derribar	VERB	48	advcl
57	así	ADV	56	advmod
58	el	DET	60	det
59	primer	ADJ	60	amod
60	piso	NOUN	56	obj
61	,	PUNCT	63	punct
62	que	PRON	63	nsubj
63	oculta	VERB	60	acl
64	parcialmente	ADV	63	advmod
65	el	DET	66	det
66	Palau	PROPN	63	obj
67	Moja	PROPN	66	flat
68	,	PUNCT	63	punct
69	y	CCONJ	71	cc
70	se	PRON	71	expl:pass
71	devuelva	VERB	48	conj
72	al	ADP	73	case
73	lugar	NOUN	71	obl
74	el	DET	75	det
75	diseño	NOUN	71	nsubj
76	de	ADP	77	case
77	balcón	NOUN	75	nmod
78	sobre	ADP	80	case
79	la	DET	80	det
80	Rambla	PROPN	77	nmod
81	que	PRON	82	obj
82	tenía	VERB	75	acl
83	antes	ADV	82	advmod
84	de	ADP	85	case
85	1935	NOUN	83	obl
86	.	PUNCT	2	punct