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:
Obres Públiques aprobará hoy el proyecto del tramo final de la controvertida ronda Nord, entre la C-17 en Canovelles y la antigua carretera de Ribes, sin atender la petición de soterramiento formulada por el Ayuntamiento de Granollers para reducir el impacto que causará en las viviendas cercanas.
Postion	Tokenization
1	Obres
2	Públiques
3	aprobará
4	hoy
5	el
6	proyecto
7	del
8	tramo
9	final
10	de
11	la
12	controvertida
13	ronda
14	Nord
15	,
16	entre
17	la
18	C-17
19	en
20	Canovelles
21	y
22	la
23	antigua
24	carretera
25	de
26	Ribes
27	,
28	sin
29	atender
30	la
31	petición
32	de
33	soterramiento
34	formulada
35	por
36	el
37	Ayuntamiento
38	de
39	Granollers
40	para
41	reducir
42	el
43	impacto
44	que
45	causará
46	en
47	las
48	viviendas
49	cercanas
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Obres	PROPN	3	nsubj
2	Públiques	PROPN	1	flat
3	aprobará	VERB	0	root
4	hoy	ADV	3	advmod
5	el	DET	6	det
6	proyecto	NOUN	3	obj
7	del	ADP	8	case
8	tramo	NOUN	6	nmod
9	final	ADJ	8	amod
10	de	ADP	13	case
11	la	DET	13	det
12	controvertida	ADJ	13	amod
13	ronda	NOUN	8	nmod
14	Nord	NOUN	13	compound
15	,	PUNCT	18	punct
16	entre	ADP	18	case
17	la	DET	18	det
18	C-17	PROPN	8	nmod
19	en	ADP	20	case
20	Canovelles	PROPN	18	nmod
21	y	CCONJ	24	cc
22	la	DET	24	det
23	antigua	ADJ	24	amod
24	carretera	NOUN	18	conj
25	de	ADP	26	case
26	Ribes	PROPN	24	nmod
27	,	PUNCT	18	punct
28	sin	ADP	29	mark
29	atender	VERB	3	advcl
30	la	DET	31	det
31	petición	NOUN	29	obj
32	de	ADP	33	case
33	soterramiento	NOUN	31	nmod
34	formulada	ADJ	31	amod
35	por	ADP	37	case
36	el	DET	37	det
37	Ayuntamiento	PROPN	34	obj
38	de	ADP	39	case
39	Granollers	PROPN	37	flat
40	para	ADP	41	mark
41	reducir	VERB	34	advcl
42	el	DET	43	det
43	impacto	NOUN	41	obj
44	que	PRON	45	obj
45	causará	VERB	43	acl
46	en	ADP	48	case
47	las	DET	48	det
48	viviendas	NOUN	45	obl
49	cercanas	ADJ	48	amod
50	.	PUNCT	3	punct