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:
La sentencia subraya que "el índice estadístico anual de accidentes de tráfico causados por ciclomotores en el interior de núcleo urbano resulta aterrador, según las cifras del Instituto Catalán de Seguridad Viaria".
Postion	Tokenization
1	La
2	sentencia
3	subraya
4	que
5	"
6	el
7	índice
8	estadístico
9	anual
10	de
11	accidentes
12	de
13	tráfico
14	causados
15	por
16	ciclomotores
17	en
18	el
19	interior
20	de
21	núcleo
22	urbano
23	resulta
24	aterrador
25	,
26	según
27	las
28	cifras
29	del
30	Instituto
31	Catalán
32	de
33	Seguridad
34	Viaria
35	"
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	sentencia	NOUN	3	nsubj
3	subraya	VERB	0	root
4	que	SCONJ	23	mark
5	"	PUNCT	23	punct
6	el	DET	7	det
7	índice	NOUN	23	nsubj
8	estadístico	ADJ	7	amod
9	anual	ADJ	7	amod
10	de	ADP	11	case
11	accidentes	NOUN	7	nmod
12	de	ADP	13	case
13	tráfico	NOUN	11	nmod
14	causados	ADJ	11	amod
15	por	ADP	16	case
16	ciclomotores	NOUN	14	obj
17	en	ADP	19	case
18	el	DET	19	det
19	interior	NOUN	14	obl
20	de	ADP	21	case
21	núcleo	NOUN	19	nmod
22	urbano	ADJ	21	amod
23	resulta	VERB	3	ccomp
24	aterrador	ADJ	23	obj
25	,	PUNCT	28	punct
26	según	ADP	28	case
27	las	DET	28	det
28	cifras	NOUN	23	obl
29	del	ADP	30	case
30	Instituto	PROPN	28	nmod
31	Catalán	PROPN	30	flat
32	de	ADP	33	case
33	Seguridad	PROPN	30	flat
34	Viaria	PROPN	30	flat
35	"	PUNCT	23	punct
36	.	PUNCT	3	punct