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 cineasta se fotografió con su Oscar durante un buen rato y luego lo colocó entre los micrófonos que llenaban la mesa de conferencias.
Postion	Tokenization
1	El
2	cineasta
3	se
4	fotografió
5	con
6	su
7	Oscar
8	durante
9	un
10	buen
11	rato
12	y
13	luego
14	lo
15	colocó
16	entre
17	los
18	micrófonos
19	que
20	llenaban
21	la
22	mesa
23	de
24	conferencias
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	cineasta	NOUN	4	nsubj
3	se	PRON	4	obj
4	fotografió	VERB	0	root
5	con	ADP	7	case
6	su	DET	7	det
7	Oscar	PROPN	4	obl
8	durante	ADP	11	case
9	un	DET	11	det
10	buen	ADJ	11	amod
11	rato	NOUN	4	obl
12	y	CCONJ	15	cc
13	luego	ADV	15	advmod
14	lo	PRON	15	obj
15	colocó	VERB	4	conj
16	entre	ADP	18	case
17	los	DET	18	det
18	micrófonos	NOUN	15	obl
19	que	PRON	20	nsubj
20	llenaban	VERB	18	acl
21	la	DET	22	det
22	mesa	NOUN	20	obj
23	de	ADP	24	case
24	conferencias	NOUN	22	nmod
25	.	PUNCT	4	punct