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:
En cuanto a la evolución de los distintos deportes o actividades, los que tendrán un mayor incremento el golf y el patín de nieve.
Postion	Tokenization
1	En
2	cuanto
3	a
4	la
5	evolución
6	de
7	los
8	distintos
9	deportes
10	o
11	actividades
12	,
13	los
14	que
15	tendrán
16	un
17	mayor
18	incremento
19	el
20	golf
21	y
22	el
23	patín
24	de
25	nieve
26	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	5	case
2	cuanto	NOUN	1	fixed
3	a	ADP	1	fixed
4	la	DET	5	det
5	evolución	NOUN	15	obl
6	de	ADP	9	case
7	los	DET	9	det
8	distintos	DET	7	det
9	deportes	NOUN	5	nmod
10	o	CCONJ	11	cc
11	actividades	NOUN	9	conj
12	,	PUNCT	5	punct
13	los	DET	15	det
14	que	PRON	15	nsubj
15	tendrán	VERB	0	root
16	un	DET	18	det
17	mayor	ADJ	18	amod
18	incremento	NOUN	15	obj
19	el	DET	20	det
20	golf	NOUN	15	obj
21	y	CCONJ	23	cc
22	el	DET	23	det
23	patín	NOUN	20	conj
24	de	ADP	25	case
25	nieve	NOUN	23	nmod
26	.	PUNCT	15	punct