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 candidato del PP, José María Aznar, fue recibido en Murcia con el "cumpleaños feliz" y una tarta con las velas correspondientes.
Postion	Tokenization
1	El
2	candidato
3	del
4	PP
5	,
6	José
7	María
8	Aznar
9	,
10	fue
11	recibido
12	en
13	Murcia
14	con
15	el
16	"
17	cumpleaños
18	feliz
19	"
20	y
21	una
22	tarta
23	con
24	las
25	velas
26	correspondientes
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	candidato	NOUN	11	nsubj
3	del	ADP	4	case
4	PP	PROPN	2	nmod
5	,	PUNCT	6	punct
6	José	PROPN	2	appos
7	María	PROPN	6	flat
8	Aznar	PROPN	6	flat
9	,	PUNCT	6	punct
10	fue	AUX	11	aux
11	recibido	VERB	0	root
12	en	ADP	13	case
13	Murcia	PROPN	11	obl
14	con	ADP	17	case
15	el	DET	17	det
16	"	PUNCT	17	punct
17	cumpleaños	NOUN	11	obl
18	feliz	ADJ	17	amod
19	"	PUNCT	22	punct
20	y	CCONJ	22	cc
21	una	DET	22	det
22	tarta	NOUN	17	conj
23	con	ADP	25	case
24	las	DET	25	det
25	velas	NOUN	22	nmod
26	correspondientes	ADJ	25	amod
27	.	PUNCT	11	punct