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 otra parte, Triadú también señaló que la Generalitat prepara un cambio de legislación a través de un nuevo decreto que permita usar la red viaria que depende de la Generalitat, así como las vías de Ferrocarriles Catalanes y de metro para que las operadoras de cable extiendan su red.
Postion	Tokenization
1	Por
2	otra
3	parte
4	,
5	Triadú
6	también
7	señaló
8	que
9	la
10	Generalitat
11	prepara
12	un
13	cambio
14	de
15	legislación
16	a
17	través
18	de
19	un
20	nuevo
21	decreto
22	que
23	permita
24	usar
25	la
26	red
27	viaria
28	que
29	depende
30	de
31	la
32	Generalitat
33	,
34	así
35	como
36	las
37	vías
38	de
39	Ferrocarriles
40	Catalanes
41	y
42	de
43	metro
44	para
45	que
46	las
47	operadoras
48	de
49	cable
50	extiendan
51	su
52	red
53	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	7	advmod
2	otra	NOUN	1	fixed
3	parte	NOUN	1	fixed
4	,	PUNCT	1	punct
5	Triadú	PROPN	7	nsubj
6	también	ADV	7	advmod
7	señaló	VERB	0	root
8	que	SCONJ	11	mark
9	la	DET	10	det
10	Generalitat	PROPN	11	nsubj
11	prepara	VERB	7	ccomp
12	un	DET	13	det
13	cambio	NOUN	11	obj
14	de	ADP	15	case
15	legislación	NOUN	13	nmod
16	a	ADP	21	case
17	través	NOUN	16	fixed
18	de	ADP	16	fixed
19	un	DET	21	det
20	nuevo	ADJ	21	amod
21	decreto	NOUN	11	obl
22	que	PRON	23	nsubj
23	permita	VERB	21	acl
24	usar	VERB	23	xcomp
25	la	DET	26	det
26	red	NOUN	24	obj
27	viaria	ADJ	26	amod
28	que	PRON	29	nsubj
29	depende	VERB	26	acl
30	de	ADP	32	case
31	la	DET	32	det
32	Generalitat	PROPN	29	obj
33	,	PUNCT	37	punct
34	así	ADV	37	cc
35	como	SCONJ	34	fixed
36	las	DET	37	det
37	vías	NOUN	26	conj
38	de	ADP	39	case
39	Ferrocarriles	PROPN	37	nmod
40	Catalanes	PROPN	39	flat
41	y	CCONJ	43	cc
42	de	ADP	43	case
43	metro	NOUN	39	conj
44	para	ADP	50	mark
45	que	SCONJ	50	mark
46	las	DET	47	det
47	operadoras	NOUN	50	nsubj
48	de	ADP	49	case
49	cable	NOUN	47	nmod
50	extiendan	VERB	24	advcl
51	su	DET	52	det
52	red	NOUN	50	obj
53	.	PUNCT	7	punct