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:
Más allá de esa frontera quizá se alcance un grado de impopularidad en el pelotón que el líder del Mapei-Clas no desea arrostrar por razones de convivencia.
Postion	Tokenization
1	Más
2	allá
3	de
4	esa
5	frontera
6	quizá
7	se
8	alcance
9	un
10	grado
11	de
12	impopularidad
13	en
14	el
15	pelotón
16	que
17	el
18	líder
19	del
20	Mapei-Clas
21	no
22	desea
23	arrostrar
24	por
25	razones
26	de
27	convivencia
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Más	ADV	2	advmod
2	allá	ADV	8	advmod
3	de	ADP	5	case
4	esa	DET	5	det
5	frontera	NOUN	2	obl
6	quizá	ADV	8	advmod
7	se	PRON	8	expl:pass
8	alcance	VERB	0	root
9	un	DET	10	det
10	grado	NOUN	8	nsubj
11	de	ADP	12	case
12	impopularidad	NOUN	10	nmod
13	en	ADP	15	case
14	el	DET	15	det
15	pelotón	NOUN	12	nmod
16	que	PRON	22	iobj
17	el	DET	18	det
18	líder	NOUN	22	nsubj
19	del	ADP	20	case
20	Mapei-Clas	PROPN	18	nmod
21	no	ADV	22	advmod
22	desea	VERB	12	acl
23	arrostrar	VERB	22	xcomp
24	por	ADP	25	case
25	razones	NOUN	22	obl
26	de	ADP	27	case
27	convivencia	NOUN	25	nmod
28	.	PUNCT	8	punct