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 técnico del Espanyol ha destacado la labor de Martín Posse, quien ha marcado dos goles, y se ha atrevido a asegurar que se ha ganado la continuidad.
Postion	Tokenization
1	El
2	técnico
3	del
4	Espanyol
5	ha
6	destacado
7	la
8	labor
9	de
10	Martín
11	Posse
12	,
13	quien
14	ha
15	marcado
16	dos
17	goles
18	,
19	y
20	se
21	ha
22	atrevido
23	a
24	asegurar
25	que
26	se
27	ha
28	ganado
29	la
30	continuidad
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	técnico	NOUN	6	nsubj
3	del	ADP	4	case
4	Espanyol	PROPN	2	nmod
5	ha	AUX	6	aux
6	destacado	VERB	0	root
7	la	DET	8	det
8	labor	NOUN	6	obj
9	de	ADP	10	case
10	Martín	PROPN	8	nmod
11	Posse	PROPN	10	flat
12	,	PUNCT	15	punct
13	quien	PRON	15	nsubj
14	ha	AUX	15	aux
15	marcado	VERB	10	acl
16	dos	NUM	17	nummod
17	goles	NOUN	15	obj
18	,	PUNCT	22	punct
19	y	CCONJ	22	cc
20	se	PRON	22	expl:pv
21	ha	AUX	22	aux
22	atrevido	VERB	15	conj
23	a	ADP	24	mark
24	asegurar	VERB	22	ccomp
25	que	SCONJ	24	mark
26	se	PRON	24	expl:pv
27	ha	AUX	24	aux
28	ganado	VERB	24	xcomp
29	la	DET	30	det
30	continuidad	NOUN	28	obj
31	.	PUNCT	6	punct