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:
Alertado por la cohesión del Valencia y su regularidad en las dos últimas temporadas, O'Leary dijo que el Leeds lo combatirá "con calidad, disciplina e ilusión".
Postion	Tokenization
1	Alertado
2	por
3	la
4	cohesión
5	del
6	Valencia
7	y
8	su
9	regularidad
10	en
11	las
12	dos
13	últimas
14	temporadas
15	,
16	O'Leary
17	dijo
18	que
19	el
20	Leeds
21	lo
22	combatirá
23	"
24	con
25	calidad
26	,
27	disciplina
28	e
29	ilusión
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Alertado	ADJ	16	amod
2	por	ADP	4	case
3	la	DET	4	det
4	cohesión	NOUN	1	obj
5	del	ADP	6	case
6	Valencia	PROPN	4	nmod
7	y	CCONJ	9	cc
8	su	DET	9	det
9	regularidad	NOUN	4	conj
10	en	ADP	14	case
11	las	DET	14	det
12	dos	NUM	11	nummod
13	últimas	ADJ	14	amod
14	temporadas	NOUN	9	nmod
15	,	PUNCT	1	punct
16	O'Leary	PROPN	17	nsubj
17	dijo	VERB	0	root
18	que	SCONJ	22	mark
19	el	DET	20	det
20	Leeds	PROPN	22	nsubj
21	lo	PRON	22	obj
22	combatirá	VERB	17	ccomp
23	"	PUNCT	25	punct
24	con	ADP	25	case
25	calidad	NOUN	22	obl
26	,	PUNCT	27	punct
27	disciplina	NOUN	25	conj
28	e	CCONJ	29	cc
29	ilusión	NOUN	25	conj
30	"	PUNCT	25	punct
31	.	PUNCT	17	punct