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:
La primera operación de repostaje y cambio de neumáticos la realizarían ambos en la vuelta 27 y en ella, gracias a sus mecánicos, Hakkinen ganaría casi un segundo y medio.
Postion	Tokenization
1	La
2	primera
3	operación
4	de
5	repostaje
6	y
7	cambio
8	de
9	neumáticos
10	la
11	realizarían
12	ambos
13	en
14	la
15	vuelta
16	27
17	y
18	en
19	ella
20	,
21	gracias
22	a
23	sus
24	mecánicos
25	,
26	Hakkinen
27	ganaría
28	casi
29	un
30	segundo
31	y
32	medio
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	primera	ADJ	3	amod
3	operación	NOUN	11	iobj
4	de	ADP	5	case
5	repostaje	NOUN	3	nmod
6	y	CCONJ	7	cc
7	cambio	NOUN	5	conj
8	de	ADP	9	case
9	neumáticos	NOUN	7	nmod
10	la	PRON	11	obj
11	realizarían	VERB	0	root
12	ambos	NUM	11	nsubj
13	en	ADP	15	case
14	la	DET	15	det
15	vuelta	NOUN	11	obl
16	27	NUM	15	nummod
17	y	CCONJ	27	cc
18	en	ADP	19	case
19	ella	PRON	27	obl
20	,	PUNCT	24	punct
21	gracias	NOUN	24	case
22	a	ADP	21	fixed
23	sus	DET	24	det
24	mecánicos	ADJ	27	advmod
25	,	PUNCT	24	punct
26	Hakkinen	PROPN	27	nsubj
27	ganaría	VERB	11	conj
28	casi	ADV	29	advmod
29	un	DET	30	det
30	segundo	NOUN	27	obj
31	y	CCONJ	32	cc
32	medio	NUM	30	conj
33	.	PUNCT	11	punct