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:
De la mano de un inspirado Patrik Sáez de Ugarte, el Bilbao Basket gozó de las primeras ventajas que alcanzaron una diferencia máxima de siete puntos (15-8) a los cinco minutos.
Postion	Tokenization
1	De
2	la
3	mano
4	de
5	un
6	inspirado
7	Patrik
8	Sáez
9	de
10	Ugarte
11	,
12	el
13	Bilbao
14	Basket
15	gozó
16	de
17	las
18	primeras
19	ventajas
20	que
21	alcanzaron
22	una
23	diferencia
24	máxima
25	de
26	siete
27	puntos
28	(
29	15-8
30	)
31	a
32	los
33	cinco
34	minutos
35	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	3	case
2	la	DET	3	det
3	mano	NOUN	15	obl
4	de	ADP	7	case
5	un	DET	7	det
6	inspirado	ADJ	7	amod
7	Patrik	PROPN	3	nmod
8	Sáez	PROPN	7	flat
9	de	ADP	10	case
10	Ugarte	PROPN	7	flat
11	,	PUNCT	3	punct
12	el	DET	13	det
13	Bilbao	PROPN	15	nsubj
14	Basket	PROPN	13	flat
15	gozó	VERB	0	root
16	de	ADP	19	case
17	las	DET	19	det
18	primeras	ADJ	19	amod
19	ventajas	NOUN	15	obj
20	que	PRON	21	nsubj
21	alcanzaron	VERB	19	acl
22	una	DET	23	det
23	diferencia	NOUN	21	obj
24	máxima	ADJ	23	amod
25	de	ADP	27	case
26	siete	NUM	27	nummod
27	puntos	NOUN	23	nmod
28	(	PUNCT	29	punct
29	15-8	NUM	23	appos
30	)	PUNCT	29	punct
31	a	ADP	34	case
32	los	DET	34	det
33	cinco	NUM	32	nummod
34	minutos	NOUN	21	obl
35	.	PUNCT	15	punct