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:
El holandés Richard Krajicek, uno de los beneficiados de la generosa actitud de los organizadores, al ser colocado como cabeza de serie (ganó el torneo en 1996), fue más imparcial en este sentido al comentar la actitud de Coretja y Costa.
Postion	Tokenization
1	El
2	holandés
3	Richard
4	Krajicek
5	,
6	uno
7	de
8	los
9	beneficiados
10	de
11	la
12	generosa
13	actitud
14	de
15	los
16	organizadores
17	,
18	al
19	ser
20	colocado
21	como
22	cabeza
23	de
24	serie
25	(
26	ganó
27	el
28	torneo
29	en
30	1996
31	)
32	,
33	fue
34	más
35	imparcial
36	en
37	este
38	sentido
39	al
40	comentar
41	la
42	actitud
43	de
44	Coretja
45	y
46	Costa
47	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	holandés	NOUN	35	nsubj
3	Richard	PROPN	2	appos
4	Krajicek	PROPN	3	flat
5	,	PUNCT	6	punct
6	uno	PRON	2	appos
7	de	ADP	9	case
8	los	DET	9	det
9	beneficiados	NOUN	6	nmod
10	de	ADP	13	case
11	la	DET	13	det
12	generosa	ADJ	13	amod
13	actitud	NOUN	9	nmod
14	de	ADP	16	case
15	los	DET	16	det
16	organizadores	NOUN	13	nmod
17	,	PUNCT	20	punct
18	al	ADP	20	mark
19	ser	AUX	20	cop
20	colocado	ADJ	9	acl
21	como	SCONJ	22	mark
22	cabeza	NOUN	20	obj
23	de	ADP	24	case
24	serie	NOUN	22	nmod
25	(	PUNCT	26	punct
26	ganó	VERB	20	parataxis
27	el	DET	28	det
28	torneo	NOUN	26	obj
29	en	ADP	30	case
30	1996	NOUN	26	obl
31	)	PUNCT	26	punct
32	,	PUNCT	6	punct
33	fue	AUX	35	cop
34	más	ADV	35	advmod
35	imparcial	ADJ	0	root
36	en	ADP	38	case
37	este	DET	38	det
38	sentido	NOUN	35	obl
39	al	ADP	40	mark
40	comentar	VERB	35	advcl
41	la	DET	42	det
42	actitud	NOUN	40	obj
43	de	ADP	44	case
44	Coretja	PROPN	42	nmod
45	y	CCONJ	46	cc
46	Costa	PROPN	44	conj
47	.	PUNCT	35	punct