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:
Por la tarde salió al principio, marcó el mejor tiempo y se tuvo que volver a detener, porque tenía una fuga de aceite y, de nuevo, los mecánicos tuvieron que separar el motor del chasis.
Postion	Tokenization
1	Por
2	la
3	tarde
4	salió
5	al
6	principio
7	,
8	marcó
9	el
10	mejor
11	tiempo
12	y
13	se
14	tuvo
15	que
16	volver
17	a
18	detener
19	,
20	porque
21	tenía
22	una
23	fuga
24	de
25	aceite
26	y
27	,
28	de
29	nuevo
30	,
31	los
32	mecánicos
33	tuvieron
34	que
35	separar
36	el
37	motor
38	del
39	chasis
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	la	DET	3	det
3	tarde	NOUN	4	obl
4	salió	VERB	0	root
5	al	ADP	4	advmod
6	principio	NOUN	5	fixed
7	,	PUNCT	8	punct
8	marcó	VERB	4	advcl
9	el	DET	11	det
10	mejor	ADJ	11	amod
11	tiempo	NOUN	8	obj
12	y	CCONJ	14	cc
13	se	PRON	16	expl:pv
14	tuvo	VERB	4	conj
15	que	SCONJ	16	cc
16	volver	VERB	14	conj
17	a	ADP	18	mark
18	detener	VERB	16	xcomp
19	,	PUNCT	21	punct
20	porque	SCONJ	21	mark
21	tenía	VERB	18	advcl
22	una	DET	23	det
23	fuga	NOUN	21	obj
24	de	ADP	25	case
25	aceite	NOUN	23	nmod
26	y	CCONJ	33	cc
27	,	PUNCT	28	punct
28	de	ADP	35	advmod
29	nuevo	ADJ	28	fixed
30	,	PUNCT	28	punct
31	los	DET	32	det
32	mecánicos	NOUN	35	nsubj
33	tuvieron	VERB	14	conj
34	que	SCONJ	35	cc
35	separar	VERB	33	conj
36	el	DET	37	det
37	motor	NOUN	35	obj
38	del	ADP	39	case
39	chasis	NOUN	35	obj
40	.	PUNCT	4	punct