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:
Por Suker llegó el gol del Arsenal, tras un mal rechace de Hesp al que no acudió ni un solo defensa azulgrana.
Postion	Tokenization
1	Por
2	Suker
3	llegó
4	el
5	gol
6	del
7	Arsenal
8	,
9	tras
10	un
11	mal
12	rechace
13	de
14	Hesp
15	al
16	que
17	no
18	acudió
19	ni
20	un
21	solo
22	defensa
23	azulgrana
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	2	case
2	Suker	PROPN	3	obl
3	llegó	VERB	0	root
4	el	DET	5	det
5	gol	NOUN	3	nsubj
6	del	ADP	7	case
7	Arsenal	PROPN	5	nmod
8	,	PUNCT	12	punct
9	tras	ADP	12	case
10	un	DET	12	det
11	mal	ADJ	12	amod
12	rechace	NOUN	3	obl
13	de	ADP	14	case
14	Hesp	PROPN	12	nmod
15	al	ADP	16	case
16	que	PRON	18	obl
17	no	ADV	18	advmod
18	acudió	VERB	12	acl
19	ni	ADV	22	advmod
20	un	DET	22	det
21	solo	ADJ	22	amod
22	defensa	NOUN	18	nsubj
23	azulgrana	ADJ	22	amod
24	.	PUNCT	3	punct