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:
Ya que si siempre en esas fechas se colapsan las líneas, este año, con más razón, pues la mayoría de gente, para evitarse problemas, pagará con tarjeta.
Postion	Tokenization
1	Ya
2	que
3	si
4	siempre
5	en
6	esas
7	fechas
8	se
9	colapsan
10	las
11	líneas
12	,
13	este
14	año
15	,
16	con
17	más
18	razón
19	,
20	pues
21	la
22	mayoría
23	de
24	gente
25	,
26	para
27	evitarse
28	evitar
29	se
30	problemas
31	,
32	pagará
33	con
34	tarjeta
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Ya	ADV	9	mark
2	que	SCONJ	1	fixed
3	si	SCONJ	9	mark
4	siempre	ADV	9	advmod
5	en	ADP	4	case
6	esas	DET	7	det
7	fechas	NOUN	4	nmod
8	se	PRON	9	expl:pv
9	colapsan	VERB	0	root
10	las	DET	11	det
11	líneas	NOUN	9	nsubj
12	,	PUNCT	9	punct
13	este	DET	14	det
14	año	NOUN	9	obj
15	,	PUNCT	18	punct
16	con	ADP	18	case
17	más	ADV	18	advmod
18	razón	NOUN	9	obl
19	,	PUNCT	31	punct
20	pues	SCONJ	31	mark
21	la	DET	22	det
22	mayoría	NOUN	31	nsubj
23	de	ADP	24	case
24	gente	NOUN	22	nmod
25	,	PUNCT	27	punct
26	para	ADP	27	mark
27	evitarse	_	None	_
28	evitar	VERB	31	advcl
29	se	PRON	27	expl:pass
30	problemas	NOUN	27	obj
31	,	PUNCT	27	punct
32	pagará	VERB	9	advcl
33	con	ADP	33	case
34	tarjeta	NOUN	31	obl
35	.	PUNCT	9	punct