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:
Otra competición en la que Raquel Carriedo está especialmente ilusionada es en la Copa del Mundo que se disputa por parejas y en la que participará junto a la guipuzcoana Marina Arruti en representación de España.
Postion	Tokenization
1	Otra
2	competición
3	en
4	la
5	que
6	Raquel
7	Carriedo
8	está
9	especialmente
10	ilusionada
11	es
12	en
13	la
14	Copa
15	del
16	Mundo
17	que
18	se
19	disputa
20	por
21	parejas
22	y
23	en
24	la
25	que
26	participará
27	junto
28	a
29	la
30	guipuzcoana
31	Marina
32	Arruti
33	en
34	representación
35	de
36	España
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Otra	DET	2	det
2	competición	NOUN	14	nsubj
3	en	ADP	5	case
4	la	DET	5	det
5	que	PRON	10	obl
6	Raquel	PROPN	10	nsubj
7	Carriedo	PROPN	6	flat
8	está	AUX	10	cop
9	especialmente	ADV	10	advmod
10	ilusionada	ADJ	2	acl
11	es	AUX	14	cop
12	en	ADP	14	case
13	la	DET	14	det
14	Copa	PROPN	0	root
15	del	ADP	16	case
16	Mundo	PROPN	14	flat
17	que	PRON	19	nsubj
18	se	PRON	19	expl:pass
19	disputa	VERB	14	acl
20	por	ADP	21	case
21	parejas	NOUN	19	obl
22	y	CCONJ	26	cc
23	en	ADP	25	case
24	la	DET	25	det
25	que	PRON	26	obj
26	participará	VERB	19	conj
27	junto	ADJ	30	case
28	a	ADP	27	fixed
29	la	DET	30	det
30	guipuzcoana	NOUN	26	obl
31	Marina	PROPN	30	appos
32	Arruti	PROPN	31	flat
33	en	ADP	36	case
34	representación	NOUN	33	fixed
35	de	ADP	33	fixed
36	España	PROPN	26	obl
37	.	PUNCT	14	punct