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:
Hace unos 25 años, John de Mol empezó en el mundo de la televisión holandesa como ayudante de producción de un programa deportivo.
Postion	Tokenization
1	Hace
2	unos
3	25
4	años
5	,
6	John
7	de
8	Mol
9	empezó
10	en
11	el
12	mundo
13	de
14	la
15	televisión
16	holandesa
17	como
18	ayudante
19	de
20	producción
21	de
22	un
23	programa
24	deportivo
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Hace	VERB	9	advcl
2	unos	DET	4	det
3	25	NUM	4	nummod
4	años	NOUN	1	obj
5	,	PUNCT	4	punct
6	John	PROPN	9	nsubj
7	de	ADP	8	case
8	Mol	PROPN	6	flat
9	empezó	VERB	0	root
10	en	ADP	12	case
11	el	DET	12	det
12	mundo	NOUN	9	obl
13	de	ADP	15	case
14	la	DET	15	det
15	televisión	NOUN	12	nmod
16	holandesa	ADJ	15	amod
17	como	SCONJ	18	mark
18	ayudante	NOUN	9	obl
19	de	ADP	20	case
20	producción	NOUN	18	nmod
21	de	ADP	23	case
22	un	DET	23	det
23	programa	NOUN	18	nmod
24	deportivo	ADJ	23	amod
25	.	PUNCT	9	punct