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:
El Valencia logró rehacerse al empuje inicial de los italianos y empezó a merodear el área de Toldo por mediación de la rapidez de Ilie y Claudio López.
Postion	Tokenization
1	El
2	Valencia
3	logró
4	rehacerse
5	rehacer
6	se
7	al
8	empuje
9	inicial
10	de
11	los
12	italianos
13	y
14	empezó
15	a
16	merodear
17	el
18	área
19	de
20	Toldo
21	por
22	mediación
23	de
24	la
25	rapidez
26	de
27	Ilie
28	y
29	Claudio
30	López
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Valencia	PROPN	3	nsubj
3	logró	VERB	0	root
4	rehacerse	_	None	_
5	rehacer	VERB	3	xcomp
6	se	PRON	4	obj
7	al	ADP	7	case
8	empuje	NOUN	4	obl
9	inicial	ADJ	7	amod
10	de	ADP	11	case
11	los	DET	11	det
12	italianos	NOUN	7	nmod
13	y	CCONJ	13	cc
14	empezó	VERB	3	conj
15	a	ADP	15	mark
16	merodear	VERB	13	xcomp
17	el	DET	17	det
18	área	NOUN	15	obj
19	de	ADP	19	case
20	Toldo	PROPN	17	nmod
21	por	ADP	21	case
22	mediación	NOUN	13	obl
23	de	ADP	24	case
24	la	DET	24	det
25	rapidez	NOUN	21	nmod
26	de	ADP	26	case
27	Ilie	PROPN	24	nmod
28	y	CCONJ	28	cc
29	Claudio	PROPN	26	conj
30	López	PROPN	28	flat
31	.	PUNCT	3	punct