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:
Aplausos y gritos recibieron esta noche en Los Angeles a Joseph Lieberman, que mañana, miércoles, será proclamado el primer judío candidato a la vicepresidencia de los Estados Unidos.
Postion	Tokenization
1	Aplausos
2	y
3	gritos
4	recibieron
5	esta
6	noche
7	en
8	Los
9	Angeles
10	a
11	Joseph
12	Lieberman
13	,
14	que
15	mañana
16	,
17	miércoles
18	,
19	será
20	proclamado
21	el
22	primer
23	judío
24	candidato
25	a
26	la
27	vicepresidencia
28	de
29	los
30	Estados
31	Unidos
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Aplausos	NOUN	4	nsubj
2	y	CCONJ	3	cc
3	gritos	NOUN	1	conj
4	recibieron	VERB	0	root
5	esta	DET	6	det
6	noche	NOUN	4	obl
7	en	ADP	9	case
8	Los	DET	9	det
9	Angeles	PROPN	4	obl
10	a	ADP	11	case
11	Joseph	PROPN	4	obj
12	Lieberman	PROPN	11	flat
13	,	PUNCT	20	punct
14	que	PRON	20	nsubj
15	mañana	NOUN	20	obl
16	,	PUNCT	17	punct
17	miércoles	NOUN	20	obl
18	,	PUNCT	17	punct
19	será	AUX	20	aux
20	proclamado	VERB	11	acl
21	el	DET	23	det
22	primer	ADJ	23	amod
23	judío	NOUN	20	obj
24	candidato	NOUN	23	nmod
25	a	ADP	27	case
26	la	DET	27	det
27	vicepresidencia	NOUN	24	nmod
28	de	ADP	30	case
29	los	DET	30	det
30	Estados	PROPN	27	nmod
31	Unidos	PROPN	30	flat
32	.	PUNCT	4	punct