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:
No recuerdo bien si tenía 16 o 17 años, pero nunca se me olvidará cómo se reían mis compañeros de clase de mi acento en inglés".
Postion	Tokenization
1	No
2	recuerdo
3	bien
4	si
5	tenía
6	16
7	o
8	17
9	años
10	,
11	pero
12	nunca
13	se
14	me
15	olvidará
16	cómo
17	se
18	reían
19	mis
20	compañeros
21	de
22	clase
23	de
24	mi
25	acento
26	en
27	inglés
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	2	advmod
2	recuerdo	VERB	0	root
3	bien	ADV	2	advmod
4	si	SCONJ	5	mark
5	tenía	VERB	2	ccomp
6	16	NUM	5	obj
7	o	CCONJ	9	cc
8	17	NUM	9	nummod
9	años	NOUN	6	conj
10	,	PUNCT	15	punct
11	pero	CCONJ	15	cc
12	nunca	ADV	15	advmod
13	se	PRON	15	expl:pass
14	me	PRON	15	iobj
15	olvidará	VERB	2	conj
16	cómo	PRON	18	obl
17	se	PRON	18	expl:pv
18	reían	VERB	15	csubj
19	mis	DET	20	det
20	compañeros	NOUN	18	nsubj
21	de	ADP	22	case
22	clase	NOUN	20	nmod
23	de	ADP	25	case
24	mi	DET	25	det
25	acento	NOUN	18	obj
26	en	ADP	27	case
27	inglés	NOUN	25	nmod
28	"	PUNCT	2	punct
29	.	PUNCT	2	punct