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:
Le costó mucho trabajo aparcar y llegó a arrepentirse de haber emprendido aquella absurda excursión, cuando vivía allí no tenía coche, no lo necesitaba.
Postion	Tokenization
1	Le
2	costó
3	mucho
4	trabajo
5	aparcar
6	y
7	llegó
8	a
9	arrepentirse
10	arrepentir
11	se
12	de
13	haber
14	emprendido
15	aquella
16	absurda
17	excursión
18	,
19	cuando
20	vivía
21	allí
22	no
23	tenía
24	coche
25	,
26	no
27	lo
28	necesitaba
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	PRON	2	obj
2	costó	VERB	0	root
3	mucho	DET	4	det
4	trabajo	NOUN	2	obl
5	aparcar	VERB	2	csubj
6	y	CCONJ	7	cc
7	llegó	VERB	2	conj
8	a	ADP	9	mark
9	arrepentirse	_	None	_
10	arrepentir	VERB	7	xcomp
11	se	PRON	9	expl:pv
12	de	ADP	13	mark
13	haber	AUX	13	aux
14	emprendido	VERB	9	ccomp
15	aquella	DET	16	det
16	absurda	ADJ	16	amod
17	excursión	NOUN	13	obj
18	,	PUNCT	2	punct
19	cuando	SCONJ	19	mark
20	vivía	VERB	2	advcl
21	allí	ADV	19	advmod
22	no	ADV	22	advmod
23	tenía	VERB	19	advcl
24	coche	NOUN	22	obj
25	,	PUNCT	22	punct
26	no	ADV	27	advmod
27	lo	PRON	27	obj
28	necesitaba	VERB	22	advcl
29	.	PUNCT	2	punct