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:
A partir de ahí, los locales se adueñaron de las acciones, con un excelente trabajo ofensivo de Andrés Chitiva, Andrés Pérez y Carlos Castro, quienes no supieron definir bien ante la meta de Nelson Patiño.
Postion	Tokenization
1	A
2	partir
3	de
4	ahí
5	,
6	los
7	locales
8	se
9	adueñaron
10	de
11	las
12	acciones
13	,
14	con
15	un
16	excelente
17	trabajo
18	ofensivo
19	de
20	Andrés
21	Chitiva
22	,
23	Andrés
24	Pérez
25	y
26	Carlos
27	Castro
28	,
29	quienes
30	no
31	supieron
32	definir
33	bien
34	ante
35	la
36	meta
37	de
38	Nelson
39	Patiño
40	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	4	case
2	partir	NOUN	1	fixed
3	de	ADP	1	fixed
4	ahí	ADV	9	advmod
5	,	PUNCT	4	punct
6	los	DET	7	det
7	locales	NOUN	9	nsubj
8	se	PRON	9	expl:pv
9	adueñaron	VERB	0	root
10	de	ADP	12	case
11	las	DET	12	det
12	acciones	NOUN	9	obj
13	,	PUNCT	17	punct
14	con	ADP	17	case
15	un	DET	17	det
16	excelente	ADJ	17	amod
17	trabajo	NOUN	9	obl
18	ofensivo	ADJ	17	amod
19	de	ADP	20	case
20	Andrés	PROPN	17	nmod
21	Chitiva	PROPN	20	flat
22	,	PUNCT	23	punct
23	Andrés	PROPN	20	conj
24	Pérez	PROPN	23	flat
25	y	CCONJ	26	cc
26	Carlos	PROPN	20	conj
27	Castro	PROPN	26	flat
28	,	PUNCT	31	punct
29	quienes	PRON	31	nsubj
30	no	ADV	31	advmod
31	supieron	VERB	20	acl
32	definir	VERB	31	xcomp
33	bien	ADV	32	advmod
34	ante	ADP	36	case
35	la	DET	36	det
36	meta	NOUN	32	obl
37	de	ADP	38	case
38	Nelson	PROPN	36	nmod
39	Patiño	PROPN	38	flat
40	.	PUNCT	9	punct