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 último, también es destacable el peso del grupo que integran el material duro de montaña, material de golf, material de caza y pesca o bicicletas.
Postion	Tokenization
1	Por
2	último
3	,
4	también
5	es
6	destacable
7	el
8	peso
9	del
10	grupo
11	que
12	integran
13	el
14	material
15	duro
16	de
17	montaña
18	,
19	material
20	de
21	golf
22	,
23	material
24	de
25	caza
26	y
27	pesca
28	o
29	bicicletas
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	6	advmod
2	último	NOUN	1	fixed
3	,	PUNCT	1	punct
4	también	ADV	6	advmod
5	es	AUX	6	cop
6	destacable	ADJ	0	root
7	el	DET	8	det
8	peso	NOUN	6	nsubj
9	del	ADP	10	case
10	grupo	NOUN	8	nmod
11	que	PRON	12	obj
12	integran	VERB	10	acl
13	el	DET	14	det
14	material	NOUN	12	nsubj
15	duro	ADJ	14	amod
16	de	ADP	17	case
17	montaña	NOUN	14	nmod
18	,	PUNCT	19	punct
19	material	NOUN	14	appos
20	de	ADP	21	case
21	golf	NOUN	19	nmod
22	,	PUNCT	23	punct
23	material	NOUN	14	appos
24	de	ADP	25	case
25	caza	NOUN	23	nmod
26	y	CCONJ	27	cc
27	pesca	NOUN	25	conj
28	o	CCONJ	29	cc
29	bicicletas	NOUN	14	conj
30	.	PUNCT	6	punct