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:
Aquí, en el salón de reuniones del Ayuntamiento, Don Felipe vio como los concejales de los cinco partidos que integran la corporación coincidían en lamentar que esta sea la única ciudad de la España peninsular que no tiene conexión ferroviaria con Madrid, y que Teruel sea la única provincia que no tiene en su territorio ni un solo kilómetro de autovía.
Postion	Tokenization
1	Aquí
2	,
3	en
4	el
5	salón
6	de
7	reuniones
8	del
9	Ayuntamiento
10	,
11	Don
12	Felipe
13	vio
14	como
15	los
16	concejales
17	de
18	los
19	cinco
20	partidos
21	que
22	integran
23	la
24	corporación
25	coincidían
26	en
27	lamentar
28	que
29	esta
30	sea
31	la
32	única
33	ciudad
34	de
35	la
36	España
37	peninsular
38	que
39	no
40	tiene
41	conexión
42	ferroviaria
43	con
44	Madrid
45	,
46	y
47	que
48	Teruel
49	sea
50	la
51	única
52	provincia
53	que
54	no
55	tiene
56	en
57	su
58	territorio
59	ni
60	un
61	solo
62	kilómetro
63	de
64	autovía
65	.
Position	Tokenization	UPOS	Head	Deprel
1	Aquí	ADV	13	advmod
2	,	PUNCT	5	punct
3	en	ADP	5	case
4	el	DET	5	det
5	salón	NOUN	1	obl
6	de	ADP	7	case
7	reuniones	NOUN	5	nmod
8	del	ADP	9	case
9	Ayuntamiento	PROPN	5	nmod
10	,	PUNCT	5	punct
11	Don	PROPN	13	nsubj
12	Felipe	PROPN	11	flat
13	vio	VERB	0	root
14	como	SCONJ	25	mark
15	los	DET	16	det
16	concejales	NOUN	25	nsubj
17	de	ADP	20	case
18	los	DET	20	det
19	cinco	NUM	18	nummod
20	partidos	NOUN	16	nmod
21	que	PRON	22	nsubj
22	integran	VERB	20	acl
23	la	DET	24	det
24	corporación	NOUN	22	obj
25	coincidían	VERB	13	ccomp
26	en	ADP	27	mark
27	lamentar	VERB	25	ccomp
28	que	SCONJ	33	mark
29	esta	PRON	33	nsubj
30	sea	AUX	33	cop
31	la	DET	33	det
32	única	ADJ	33	amod
33	ciudad	NOUN	27	ccomp
34	de	ADP	36	case
35	la	DET	36	det
36	España	PROPN	33	nmod
37	peninsular	ADJ	36	amod
38	que	PRON	40	nsubj
39	no	ADV	40	advmod
40	tiene	VERB	33	acl
41	conexión	NOUN	40	obj
42	ferroviaria	ADJ	41	amod
43	con	ADP	44	case
44	Madrid	PROPN	40	obl
45	,	PUNCT	52	punct
46	y	CCONJ	52	cc
47	que	SCONJ	52	mark
48	Teruel	PROPN	52	nsubj
49	sea	AUX	52	cop
50	la	DET	52	det
51	única	ADJ	52	amod
52	provincia	NOUN	33	conj
53	que	PRON	55	nsubj
54	no	ADV	55	advmod
55	tiene	VERB	52	acl
56	en	ADP	58	case
57	su	DET	58	det
58	territorio	NOUN	55	obl
59	ni	ADV	62	advmod
60	un	DET	62	det
61	solo	ADJ	62	amod
62	kilómetro	NOUN	55	obj
63	de	ADP	64	case
64	autovía	NOUN	62	nmod
65	.	PUNCT	13	punct