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:
Precisamente, Gutiérrez anotó a los 20 y 44 minutos, su compañero Valenzuela a los 41; Luis Medina, a los 47 minutos y Ricardo Queraltó a los 54.
Postion	Tokenization
1	Precisamente
2	,
3	Gutiérrez
4	anotó
5	a
6	los
7	20
8	y
9	44
10	minutos
11	,
12	su
13	compañero
14	Valenzuela
15	a
16	los
17	41
18	;
19	Luis
20	Medina
21	,
22	a
23	los
24	47
25	minutos
26	y
27	Ricardo
28	Queraltó
29	a
30	los
31	54
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Precisamente	ADV	4	advmod
2	,	PUNCT	1	punct
3	Gutiérrez	PROPN	4	nsubj
4	anotó	VERB	0	root
5	a	ADP	10	case
6	los	DET	7	det
7	20	NUM	10	nummod
8	y	CCONJ	9	cc
9	44	NUM	7	conj
10	minutos	NOUN	4	obl
11	,	PUNCT	13	punct
12	su	DET	13	det
13	compañero	NOUN	4	obl
14	Valenzuela	PROPN	13	appos
15	a	ADP	17	case
16	los	DET	17	det
17	41	NUM	13	nummod
18	;	PUNCT	19	punct
19	Luis	PROPN	4	obl
20	Medina	PROPN	19	flat
21	,	PUNCT	25	punct
22	a	ADP	25	case
23	los	DET	24	det
24	47	NUM	25	nummod
25	minutos	NOUN	19	nmod
26	y	CCONJ	27	cc
27	Ricardo	PROPN	4	conj
28	Queraltó	PROPN	27	flat
29	a	ADP	31	case
30	los	DET	31	det
31	54	NUM	27	nummod
32	.	PUNCT	4	punct