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:
"Sé que el espíritu de mi padre vive y os lo agradezco", dijo Caroline Kennedy en su primera aparición en una convención demócrata en apoyo del candidato del partido al que tradicionalmente pertenece su familia.
Postion	Tokenization
1	"
2	Sé
3	que
4	el
5	espíritu
6	de
7	mi
8	padre
9	vive
10	y
11	os
12	lo
13	agradezco
14	"
15	,
16	dijo
17	Caroline
18	Kennedy
19	en
20	su
21	primera
22	aparición
23	en
24	una
25	convención
26	demócrata
27	en
28	apoyo
29	del
30	candidato
31	del
32	partido
33	al
34	que
35	tradicionalmente
36	pertenece
37	su
38	familia
39	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Sé	VERB	16	ccomp
3	que	SCONJ	9	mark
4	el	DET	5	det
5	espíritu	NOUN	9	nsubj
6	de	ADP	8	case
7	mi	DET	8	det
8	padre	NOUN	5	nmod
9	vive	VERB	2	ccomp
10	y	CCONJ	13	cc
11	os	PRON	13	iobj
12	lo	PRON	13	obj
13	agradezco	VERB	2	conj
14	"	PUNCT	2	punct
15	,	PUNCT	2	punct
16	dijo	VERB	0	root
17	Caroline	PROPN	16	nsubj
18	Kennedy	PROPN	17	flat
19	en	ADP	22	case
20	su	DET	22	det
21	primera	ADJ	22	amod
22	aparición	NOUN	16	obl
23	en	ADP	25	case
24	una	DET	25	det
25	convención	NOUN	22	nmod
26	demócrata	ADJ	25	amod
27	en	ADP	28	case
28	apoyo	NOUN	25	nmod
29	del	ADP	30	case
30	candidato	NOUN	28	nmod
31	del	ADP	32	case
32	partido	NOUN	30	nmod
33	al	ADP	34	case
34	que	PRON	36	obj
35	tradicionalmente	ADV	36	advmod
36	pertenece	VERB	32	acl
37	su	DET	38	det
38	familia	NOUN	36	nsubj
39	.	PUNCT	16	punct