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:
Aunque no llegaba frecuentemente con peligro a la puerta del colombiano Oscar Córdoba, el River Plate llevó al marcador el producto de su dominio y anotó en el minuto 14.
Postion	Tokenization
1	Aunque
2	no
3	llegaba
4	frecuentemente
5	con
6	peligro
7	a
8	la
9	puerta
10	del
11	colombiano
12	Oscar
13	Córdoba
14	,
15	el
16	River
17	Plate
18	llevó
19	al
20	marcador
21	el
22	producto
23	de
24	su
25	dominio
26	y
27	anotó
28	en
29	el
30	minuto
31	14
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Aunque	SCONJ	3	mark
2	no	ADV	3	advmod
3	llegaba	VERB	0	root
4	frecuentemente	ADV	3	advmod
5	con	ADP	6	case
6	peligro	NOUN	3	obl
7	a	ADP	9	case
8	la	DET	9	det
9	puerta	NOUN	3	obl
10	del	ADP	11	case
11	colombiano	NOUN	9	nmod
12	Oscar	PROPN	11	appos
13	Córdoba	PROPN	12	flat
14	,	PUNCT	3	punct
15	el	DET	16	det
16	River	PROPN	18	nsubj
17	Plate	PROPN	16	flat
18	llevó	VERB	3	advcl
19	al	ADP	20	case
20	marcador	NOUN	18	obl
21	el	DET	22	det
22	producto	NOUN	18	obj
23	de	ADP	25	case
24	su	DET	25	det
25	dominio	NOUN	22	nmod
26	y	CCONJ	27	cc
27	anotó	VERB	18	conj
28	en	ADP	30	case
29	el	DET	30	det
30	minuto	NOUN	27	obl
31	14	NUM	30	appos
32	.	PUNCT	3	punct