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:
Dos millares de prostitutas, los mejores ciclistas de Alemania, miles de abogados y médicos de todo el país y varios líderes mundiales, incluido Bill Clinton, coincidirán estos días en Berlín, que deberá poner a prueba su capacidad de organización ante semejante avalancha de acontecimientos.
Postion	Tokenization
1	Dos
2	millares
3	de
4	prostitutas
5	,
6	los
7	mejores
8	ciclistas
9	de
10	Alemania
11	,
12	miles
13	de
14	abogados
15	y
16	médicos
17	de
18	todo
19	el
20	país
21	y
22	varios
23	líderes
24	mundiales
25	,
26	incluido
27	Bill
28	Clinton
29	,
30	coincidirán
31	estos
32	días
33	en
34	Berlín
35	,
36	que
37	deberá
38	poner
39	a
40	prueba
41	su
42	capacidad
43	de
44	organización
45	ante
46	semejante
47	avalancha
48	de
49	acontecimientos
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Dos	NUM	2	nummod
2	millares	NOUN	30	nsubj
3	de	ADP	4	case
4	prostitutas	NOUN	2	nmod
5	,	PUNCT	8	punct
6	los	DET	8	det
7	mejores	ADJ	8	amod
8	ciclistas	NOUN	2	appos
9	de	ADP	10	case
10	Alemania	PROPN	8	nmod
11	,	PUNCT	12	punct
12	miles	NUM	2	appos
13	de	ADP	14	case
14	abogados	NOUN	12	nmod
15	y	CCONJ	16	cc
16	médicos	NOUN	14	conj
17	de	ADP	20	case
18	todo	DET	19	det
19	el	DET	20	det
20	país	NOUN	14	nmod
21	y	CCONJ	23	cc
22	varios	DET	23	det
23	líderes	NOUN	2	conj
24	mundiales	ADJ	23	amod
25	,	PUNCT	27	punct
26	incluido	ADJ	27	amod
27	Bill	PROPN	23	appos
28	Clinton	PROPN	27	flat
29	,	PUNCT	27	punct
30	coincidirán	VERB	0	root
31	estos	DET	32	det
32	días	NOUN	30	obl
33	en	ADP	34	case
34	Berlín	PROPN	30	obl
35	,	PUNCT	38	punct
36	que	PRON	38	nsubj
37	deberá	AUX	38	aux
38	poner	VERB	34	acl
39	a	ADP	40	case
40	prueba	NOUN	38	obl
41	su	DET	42	det
42	capacidad	NOUN	38	obj
43	de	ADP	44	case
44	organización	NOUN	42	nmod
45	ante	ADP	47	case
46	semejante	DET	47	det
47	avalancha	NOUN	38	obl
48	de	ADP	49	case
49	acontecimientos	NOUN	47	nmod
50	.	PUNCT	30	punct