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:
González conectó dos rectas imponentes al mentón de Jinete, que no pudo recuperarse, suspendido por el árbitro luego de recibir una fuerte cantidad de golpes.
Postion	Tokenization
1	González
2	conectó
3	dos
4	rectas
5	imponentes
6	al
7	mentón
8	de
9	Jinete
10	,
11	que
12	no
13	pudo
14	recuperarse
15	recuperar
16	se
17	,
18	suspendido
19	por
20	el
21	árbitro
22	luego
23	de
24	recibir
25	una
26	fuerte
27	cantidad
28	de
29	golpes
30	.
Position	Tokenization	UPOS	Head	Deprel
1	González	PROPN	2	nsubj
2	conectó	VERB	0	root
3	dos	NUM	4	nummod
4	rectas	NOUN	2	obj
5	imponentes	ADJ	4	amod
6	al	ADP	7	case
7	mentón	NOUN	2	obj
8	de	ADP	9	case
9	Jinete	PROPN	7	nmod
10	,	PUNCT	14	punct
11	que	PRON	14	nsubj
12	no	ADV	14	advmod
13	pudo	AUX	14	aux
14	recuperarse	_	None	_
15	recuperar	VERB	9	acl
16	se	PRON	14	expl:pv
17	,	PUNCT	14	punct
18	suspendido	ADJ	9	amod
19	por	ADP	20	case
20	el	DET	20	det
21	árbitro	NOUN	17	obj
22	luego	ADV	17	advmod
23	de	ADP	23	mark
24	recibir	VERB	21	advcl
25	una	DET	26	det
26	fuerte	ADJ	26	amod
27	cantidad	NOUN	23	obj
28	de	ADP	28	case
29	golpes	NOUN	26	nmod
30	.	PUNCT	2	punct