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:
El plan inicial incluía una nueva boca de metro de la estación de Poble Sec de la línea 3, en la confluencia de las calles Mare de Déu del Remei y Bòbila y la construcción de un aparcamiento subterráneo.
Postion	Tokenization
1	El
2	plan
3	inicial
4	incluía
5	una
6	nueva
7	boca
8	de
9	metro
10	de
11	la
12	estación
13	de
14	Poble
15	Sec
16	de
17	la
18	línea
19	3
20	,
21	en
22	la
23	confluencia
24	de
25	las
26	calles
27	Mare
28	de
29	Déu
30	del
31	Remei
32	y
33	Bòbila
34	y
35	la
36	construcción
37	de
38	un
39	aparcamiento
40	subterráneo
41	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	plan	NOUN	4	nsubj
3	inicial	ADJ	2	amod
4	incluía	VERB	0	root
5	una	DET	7	det
6	nueva	ADJ	7	amod
7	boca	NOUN	4	obj
8	de	ADP	9	case
9	metro	NOUN	7	nmod
10	de	ADP	12	case
11	la	DET	12	det
12	estación	NOUN	7	nmod
13	de	ADP	14	case
14	Poble	PROPN	12	nmod
15	Sec	PROPN	14	flat
16	de	ADP	18	case
17	la	DET	18	det
18	línea	PROPN	7	nmod
19	3	NUM	18	nummod
20	,	PUNCT	23	punct
21	en	ADP	23	case
22	la	DET	23	det
23	confluencia	NOUN	7	nmod
24	de	ADP	26	case
25	las	DET	26	det
26	calles	NOUN	23	nmod
27	Mare	PROPN	26	appos
28	de	ADP	29	case
29	Déu	PROPN	27	flat
30	del	ADP	31	case
31	Remei	PROPN	27	flat
32	y	CCONJ	33	cc
33	Bòbila	PROPN	27	conj
34	y	CCONJ	36	cc
35	la	DET	36	det
36	construcción	NOUN	7	conj
37	de	ADP	39	case
38	un	DET	39	det
39	aparcamiento	NOUN	36	nmod
40	subterráneo	ADJ	39	amod
41	.	PUNCT	4	punct