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:
Por todo ello, el juez ha decidido remitir esta sentencia a la Dirección General de Tráfico y al Instituto Catalán de Seguridad Viaria para que promuevan el cambio en la ley que propone.
Postion	Tokenization
1	Por
2	todo
3	ello
4	,
5	el
6	juez
7	ha
8	decidido
9	remitir
10	esta
11	sentencia
12	a
13	la
14	Dirección
15	General
16	de
17	Tráfico
18	y
19	al
20	Instituto
21	Catalán
22	de
23	Seguridad
24	Viaria
25	para
26	que
27	promuevan
28	el
29	cambio
30	en
31	la
32	ley
33	que
34	propone
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	todo	DET	3	det
3	ello	PRON	8	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	juez	NOUN	8	nsubj
7	ha	AUX	8	aux
8	decidido	VERB	0	root
9	remitir	VERB	8	xcomp
10	esta	DET	11	det
11	sentencia	NOUN	9	obj
12	a	ADP	14	case
13	la	DET	14	det
14	Dirección	PROPN	9	obj
15	General	PROPN	14	flat
16	de	ADP	17	case
17	Tráfico	PROPN	14	flat
18	y	CCONJ	20	cc
19	al	ADP	20	case
20	Instituto	PROPN	14	conj
21	Catalán	PROPN	20	flat
22	de	ADP	23	case
23	Seguridad	PROPN	20	flat
24	Viaria	PROPN	20	flat
25	para	ADP	27	mark
26	que	SCONJ	27	mark
27	promuevan	VERB	9	advcl
28	el	DET	29	det
29	cambio	NOUN	27	obj
30	en	ADP	32	case
31	la	DET	32	det
32	ley	NOUN	29	nmod
33	que	PRON	34	obj
34	propone	VERB	29	acl
35	.	PUNCT	8	punct