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:
Jackson tenía 33 años cuando fue contratado como entrenador de los Knicks de Nueva York, convirtiéndose en el segundo entrenador más joven en la historia de la liga.
Postion	Tokenization
1	Jackson
2	tenía
3	33
4	años
5	cuando
6	fue
7	contratado
8	como
9	entrenador
10	de
11	los
12	Knicks
13	de
14	Nueva
15	York
16	,
17	convirtiéndose
18	convirtiendo
19	se
20	en
21	el
22	segundo
23	entrenador
24	más
25	joven
26	en
27	la
28	historia
29	de
30	la
31	liga
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Jackson	PROPN	2	nsubj
2	tenía	VERB	0	root
3	33	NUM	4	nummod
4	años	NOUN	2	obj
5	cuando	SCONJ	7	mark
6	fue	AUX	7	aux
7	contratado	VERB	2	advcl
8	como	SCONJ	9	mark
9	entrenador	NOUN	7	obj
10	de	ADP	12	case
11	los	DET	12	det
12	Knicks	PROPN	9	nmod
13	de	ADP	14	case
14	Nueva	PROPN	12	flat
15	York	PROPN	14	flat
16	,	PUNCT	17	punct
17	convirtiéndose	_	None	_
18	convirtiendo	VERB	2	advcl
19	se	PRON	17	expl:pv
20	en	ADP	22	case
21	el	DET	22	det
22	segundo	ADJ	22	amod
23	entrenador	NOUN	17	obj
24	más	ADV	24	advmod
25	joven	ADJ	22	amod
26	en	ADP	27	case
27	la	DET	27	det
28	historia	NOUN	22	nmod
29	de	ADP	30	case
30	la	DET	30	det
31	liga	NOUN	27	nmod
32	.	PUNCT	2	punct