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:
Sampras, casi siempre muy diplomático en sus declaraciones, no se mordió la lengua al calificar la conducta de los dos, que han mantenido su postura con dignidad por no haber sido designados como cabezas de serie.
Postion	Tokenization
1	Sampras
2	,
3	casi
4	siempre
5	muy
6	diplomático
7	en
8	sus
9	declaraciones
10	,
11	no
12	se
13	mordió
14	la
15	lengua
16	al
17	calificar
18	la
19	conducta
20	de
21	los
22	dos
23	,
24	que
25	han
26	mantenido
27	su
28	postura
29	con
30	dignidad
31	por
32	no
33	haber
34	sido
35	designados
36	como
37	cabezas
38	de
39	serie
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Sampras	PROPN	13	nsubj
2	,	PUNCT	6	punct
3	casi	ADV	4	advmod
4	siempre	ADV	6	advmod
5	muy	ADV	6	advmod
6	diplomático	ADJ	1	amod
7	en	ADP	9	case
8	sus	DET	9	det
9	declaraciones	NOUN	6	nmod
10	,	PUNCT	6	punct
11	no	ADV	13	advmod
12	se	PRON	13	iobj
13	mordió	VERB	0	root
14	la	DET	15	det
15	lengua	NOUN	13	obj
16	al	ADP	17	mark
17	calificar	VERB	13	advcl
18	la	DET	19	det
19	conducta	NOUN	17	obj
20	de	ADP	22	case
21	los	DET	22	det
22	dos	NUM	19	nummod
23	,	PUNCT	26	punct
24	que	PRON	26	nsubj
25	han	AUX	26	aux
26	mantenido	VERB	22	advcl
27	su	DET	28	det
28	postura	NOUN	26	obj
29	con	ADP	30	case
30	dignidad	NOUN	26	obl
31	por	ADP	35	mark
32	no	ADV	35	advmod
33	haber	AUX	35	aux
34	sido	AUX	35	aux
35	designados	VERB	26	advcl
36	como	SCONJ	37	mark
37	cabezas	NOUN	35	obl
38	de	ADP	39	case
39	serie	NOUN	37	nmod
40	.	PUNCT	13	punct