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 vestido que llevó Marilyn Monroe en su boda con el jugador de béisbol Joe DiMaggio, en 1954, fue subastado el jueves por más de cinco millones de pesetas por la casa Sotheby's de Nueva York.
Postion	Tokenization
1	El
2	vestido
3	que
4	llevó
5	Marilyn
6	Monroe
7	en
8	su
9	boda
10	con
11	el
12	jugador
13	de
14	béisbol
15	Joe
16	DiMaggio
17	,
18	en
19	1954
20	,
21	fue
22	subastado
23	el
24	jueves
25	por
26	más
27	de
28	cinco
29	millones
30	de
31	pesetas
32	por
33	la
34	casa
35	Sotheby's
36	de
37	Nueva
38	York
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	vestido	NOUN	22	nsubj
3	que	PRON	4	obj
4	llevó	VERB	2	acl
5	Marilyn	PROPN	4	nsubj
6	Monroe	PROPN	5	flat
7	en	ADP	9	case
8	su	DET	9	det
9	boda	NOUN	4	obl
10	con	ADP	12	case
11	el	DET	12	det
12	jugador	NOUN	9	nmod
13	de	ADP	14	case
14	béisbol	NOUN	12	nmod
15	Joe	PROPN	12	appos
16	DiMaggio	PROPN	15	flat
17	,	PUNCT	19	punct
18	en	ADP	19	case
19	1954	NOUN	4	obl
20	,	PUNCT	19	punct
21	fue	AUX	22	aux
22	subastado	VERB	0	root
23	el	DET	24	det
24	jueves	NOUN	22	obl
25	por	ADP	29	case
26	más	ADV	29	advmod
27	de	ADP	26	case
28	cinco	NUM	26	nummod
29	millones	NOUN	22	obl
30	de	ADP	31	case
31	pesetas	NOUN	29	nmod
32	por	ADP	34	case
33	la	DET	34	det
34	casa	NOUN	22	obj
35	Sotheby's	PROPN	34	appos
36	de	ADP	37	case
37	Nueva	PROPN	34	nmod
38	York	PROPN	37	flat
39	.	PUNCT	22	punct