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:
Son troisième album, That's For Me, a pour réalisateur John Snyder qui est connu pour son travail avec Chet Baker, Charlie Haden, Ornette Coleman, entre autres.
Postion	Tokenization
1	Son
2	troisième
3	album
4	,
5	That's
6	For
7	Me
8	,
9	a
10	pour
11	réalisateur
12	John
13	Snyder
14	qui
15	est
16	connu
17	pour
18	son
19	travail
20	avec
21	Chet
22	Baker
23	,
24	Charlie
25	Haden
26	,
27	Ornette
28	Coleman
29	,
30	entre
31	autres
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Son	DET	3	det
2	troisième	ADJ	3	amod
3	album	NOUN	9	nsubj
4	,	PUNCT	5	punct
5	That's	X	3	appos
6	For	X	5	flat:name
7	Me	X	6	flat:name
8	,	PUNCT	5	punct
9	a	VERB	0	root
10	pour	ADP	11	case
11	réalisateur	NOUN	9	obl:arg
12	John	PROPN	9	obj
13	Snyder	PROPN	12	flat:name
14	qui	PRON	16	nsubj:pass
15	est	AUX	16	aux:pass
16	connu	VERB	12	acl:relcl
17	pour	ADP	19	case
18	son	DET	19	det
19	travail	NOUN	16	obl:mod
20	avec	ADP	21	case
21	Chet	PROPN	19	nmod
22	Baker	PROPN	21	flat:name
23	,	PUNCT	24	punct
24	Charlie	PROPN	21	conj
25	Haden	PROPN	24	flat:name
26	,	PUNCT	27	punct
27	Ornette	PROPN	21	conj
28	Coleman	PROPN	27	flat:name
29	,	PUNCT	31	punct
30	entre	ADP	31	case
31	autres	PRON	21	nmod
32	.	PUNCT	9	punct