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:
Lejos de Los Angeles, Al Gore recogió la antorcha del liderazgo demócrata de manos del presidente estadounidense, Bill Clinton, en un acto simbólico celebrado en Michigan.
Postion	Tokenization
1	Lejos
2	de
3	Los
4	Angeles
5	,
6	Al
7	Gore
8	recogió
9	la
10	antorcha
11	del
12	liderazgo
13	demócrata
14	de
15	manos
16	del
17	presidente
18	estadounidense
19	,
20	Bill
21	Clinton
22	,
23	en
24	un
25	acto
26	simbólico
27	celebrado
28	en
29	Michigan
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Lejos	ADV	4	case
2	de	ADP	1	fixed
3	Los	DET	4	det
4	Angeles	PROPN	8	obl
5	,	PUNCT	4	punct
6	Al	ADP	7	case
7	Gore	PROPN	8	nsubj
8	recogió	VERB	0	root
9	la	DET	10	det
10	antorcha	NOUN	8	obj
11	del	ADP	12	case
12	liderazgo	NOUN	10	nmod
13	demócrata	ADJ	12	amod
14	de	ADP	15	case
15	manos	NOUN	8	obl
16	del	ADP	17	case
17	presidente	NOUN	15	nmod
18	estadounidense	ADJ	17	amod
19	,	PUNCT	20	punct
20	Bill	PROPN	17	appos
21	Clinton	PROPN	20	flat
22	,	PUNCT	20	punct
23	en	ADP	25	case
24	un	DET	25	det
25	acto	NOUN	8	obl
26	simbólico	ADJ	25	amod
27	celebrado	ADJ	25	amod
28	en	ADP	29	case
29	Michigan	PROPN	27	obl
30	.	PUNCT	8	punct