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:
Sin embargo, el volumen de Anaya de la serie Nuestro Mundo, uno de los más usados en las aulas vascas, excede sobradamente el 55% de temario común fijado por Educación para las comunidades con lengua propia.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	el
5	volumen
6	de
7	Anaya
8	de
9	la
10	serie
11	Nuestro
12	Mundo
13	,
14	uno
15	de
16	los
17	más
18	usados
19	en
20	las
21	aulas
22	vascas
23	,
24	excede
25	sobradamente
26	el
27	55%
28	de
29	temario
30	común
31	fijado
32	por
33	Educación
34	para
35	las
36	comunidades
37	con
38	lengua
39	propia
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	24	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	el	DET	5	det
5	volumen	NOUN	24	nsubj
6	de	ADP	7	case
7	Anaya	PROPN	5	nmod
8	de	ADP	10	case
9	la	DET	10	det
10	serie	NOUN	5	nmod
11	Nuestro	DET	12	det
12	Mundo	PROPN	10	appos
13	,	PUNCT	14	punct
14	uno	PRON	5	appos
15	de	ADP	18	case
16	los	DET	18	det
17	más	ADV	18	advmod
18	usados	ADJ	14	amod
19	en	ADP	21	case
20	las	DET	21	det
21	aulas	NOUN	18	obl
22	vascas	ADJ	21	amod
23	,	PUNCT	14	punct
24	excede	VERB	0	root
25	sobradamente	ADV	24	advmod
26	el	DET	27	det
27	55%	SYM	24	obj
28	de	ADP	29	case
29	temario	NOUN	27	nmod
30	común	ADJ	29	amod
31	fijado	ADJ	27	advmod
32	por	ADP	33	case
33	Educación	PROPN	31	obj
34	para	ADP	36	case
35	las	DET	36	det
36	comunidades	NOUN	31	obl
37	con	ADP	38	case
38	lengua	NOUN	36	nmod
39	propia	ADJ	38	amod
40	.	PUNCT	24	punct