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:
El Casademont Girona, por su parte, sufrió una contundente derrota en la cancha del Baloncesto Gijón (92-77), a pesar de los 15 puntos (con cinco triples) de Toolson, y los 14 de Larry Stewart.
Postion	Tokenization
1	El
2	Casademont
3	Girona
4	,
5	por
6	su
7	parte
8	,
9	sufrió
10	una
11	contundente
12	derrota
13	en
14	la
15	cancha
16	del
17	Baloncesto
18	Gijón
19	(
20	92-77
21	)
22	,
23	a
24	pesar
25	de
26	los
27	15
28	puntos
29	(
30	con
31	cinco
32	triples
33	)
34	de
35	Toolson
36	,
37	y
38	los
39	14
40	de
41	Larry
42	Stewart
43	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Casademont	PROPN	9	nsubj
3	Girona	PROPN	2	flat
4	,	PUNCT	7	punct
5	por	ADP	7	case
6	su	DET	7	det
7	parte	NOUN	9	obl
8	,	PUNCT	7	punct
9	sufrió	VERB	0	root
10	una	DET	12	det
11	contundente	ADJ	12	amod
12	derrota	NOUN	9	obj
13	en	ADP	15	case
14	la	DET	15	det
15	cancha	NOUN	9	obl
16	del	ADP	17	case
17	Baloncesto	PROPN	15	nmod
18	Gijón	PROPN	17	flat
19	(	PUNCT	20	punct
20	92-77	NUM	9	obj
21	)	PUNCT	20	punct
22	,	PUNCT	28	punct
23	a	ADP	28	case
24	pesar	NOUN	23	fixed
25	de	ADP	23	fixed
26	los	DET	27	det
27	15	NUM	28	nummod
28	puntos	NOUN	9	obl
29	(	PUNCT	32	punct
30	con	ADP	32	case
31	cinco	NUM	32	nummod
32	triples	NOUN	28	nmod
33	)	PUNCT	32	punct
34	de	ADP	35	case
35	Toolson	PROPN	28	nmod
36	,	PUNCT	39	punct
37	y	CCONJ	39	cc
38	los	DET	39	det
39	14	NUM	28	conj
40	de	ADP	41	case
41	Larry	PROPN	39	nmod
42	Stewart	PROPN	41	flat
43	.	PUNCT	9	punct