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:
Los mecánicos de Ferrari hicieron el resto del trabajo, arañaron dos segundos a los de McLaren y se incorporó a la pista por delante de Hakkinen.
Postion	Tokenization
1	Los
2	mecánicos
3	de
4	Ferrari
5	hicieron
6	el
7	resto
8	del
9	trabajo
10	,
11	arañaron
12	dos
13	segundos
14	a
15	los
16	de
17	McLaren
18	y
19	se
20	incorporó
21	a
22	la
23	pista
24	por
25	delante
26	de
27	Hakkinen
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	mecánicos	NOUN	5	nsubj
3	de	ADP	4	case
4	Ferrari	PROPN	2	nmod
5	hicieron	VERB	0	root
6	el	DET	7	det
7	resto	NOUN	5	obj
8	del	ADP	9	case
9	trabajo	NOUN	7	nmod
10	,	PUNCT	11	punct
11	arañaron	VERB	5	advcl
12	dos	NUM	13	nummod
13	segundos	NOUN	11	obj
14	a	ADP	15	case
15	los	DET	11	det
16	de	ADP	15	case
17	McLaren	PROPN	15	obj
18	y	CCONJ	20	cc
19	se	PRON	20	expl:pv
20	incorporó	VERB	5	conj
21	a	ADP	23	case
22	la	DET	23	det
23	pista	NOUN	20	obj
24	por	ADP	27	case
25	delante	ADV	24	fixed
26	de	ADP	24	fixed
27	Hakkinen	PROPN	20	obl
28	.	PUNCT	5	punct