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:
Sigue las pautas del que inventó Sega en Space Channel con el personaje de Ulala, una chica mona con coletas azules que bailaba al son del jugador, e incluye fotos de la diva y vídeos de sus giras.
Postion	Tokenization
1	Sigue
2	las
3	pautas
4	del
5	que
6	inventó
7	Sega
8	en
9	Space
10	Channel
11	con
12	el
13	personaje
14	de
15	Ulala
16	,
17	una
18	chica
19	mona
20	con
21	coletas
22	azules
23	que
24	bailaba
25	al
26	son
27	del
28	jugador
29	,
30	e
31	incluye
32	fotos
33	de
34	la
35	diva
36	y
37	vídeos
38	de
39	sus
40	giras
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Sigue	VERB	0	root
2	las	DET	3	det
3	pautas	NOUN	1	obj
4	del	ADP	6	mark
5	que	PRON	6	obj
6	inventó	VERB	3	acl
7	Sega	PROPN	6	nsubj
8	en	ADP	9	case
9	Space	PROPN	6	obl
10	Channel	PROPN	9	flat
11	con	ADP	13	case
12	el	DET	13	det
13	personaje	NOUN	6	obl
14	de	ADP	15	case
15	Ulala	PROPN	13	nmod
16	,	PUNCT	18	punct
17	una	DET	18	det
18	chica	NOUN	15	appos
19	mona	ADJ	18	amod
20	con	ADP	21	case
21	coletas	NOUN	18	nmod
22	azules	ADJ	21	amod
23	que	PRON	24	nsubj
24	bailaba	VERB	18	acl
25	al	ADP	26	case
26	son	NOUN	24	obl
27	del	ADP	28	case
28	jugador	NOUN	26	nmod
29	,	PUNCT	18	punct
30	e	CCONJ	31	cc
31	incluye	VERB	1	conj
32	fotos	NOUN	31	obj
33	de	ADP	35	case
34	la	DET	35	det
35	diva	NOUN	32	nmod
36	y	CCONJ	37	cc
37	vídeos	NOUN	32	conj
38	de	ADP	40	case
39	sus	DET	40	det
40	giras	NOUN	37	nmod
41	.	PUNCT	1	punct